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Our mission is to sustainably enhance agricultural productivity by seamlessly integrating gene editing and digital technologies, empowering farmers to meet the world&#39;s growing food demands while safeguarding the environment.</p>\n<p>In this role, you will drive an impactful gene editing program by identifying gene editing targets and alleles that result in desired phenotypic impact, working with a diverse set of data inputs to develop genotype-to-phenotype predictions using some of the industry&#39;s most extensive and global agriculture and genetic datasets.</p>\n<p>As a member of the Biology and Genome Design community, you will actively build your own acumen and capabilities while modeling best practices for others and partnering closely with cross-functional scientific, engineering, and IT teams across the company.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies</li>\n<li>Develop and apply state-of-the-art genetic discovery tools to identify novel genetics with predicted optimal phenotypic performance by leveraging diverse genomic and phenotypic datasets</li>\n<li>Develop robust workflows and analysis pipelines that enable cross-team communication, data sharing, and decision-making, supporting iterative learning from key experiments to shape research direction</li>\n<li>Identify and refine methods for capturing complex genetic interactions and the influence of genetic variation on observed phenotypes to improve design and prediction for current and future gene editing pipelines</li>\n<li>Lead or assist in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&amp;D) teams</li>\n<li>Collaborate closely with cross-functional and cross-cultural scientific, engineering, and IT partners to align gene editing and data science approaches with pipeline and business needs</li>\n<li>Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>PhD in Biological Sciences, Computational Biology, or a related field</li>\n<li>At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields</li>\n<li>Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses</li>\n<li>Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry</li>\n<li>Distinct communication skills with fluency in English, both written and verbal</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Educational preparation or applied experience in at least one of the following areas: Plant Biology, Genetics, Molecular Biology, Machine/Deep Learning, or other closely related discipline</li>\n<li>Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals</li>\n<li>Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges</li>\n<li>Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_445f055d-c72","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976820203","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$111,520.00 - 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You will connect disparate data sources and leverage key advancement data to group projects, reagents, and samples, using this connected data system to deliver models that optimize resource use and pipeline capacity by integrating data awareness across lab, greenhouse, and field operations.</p>\n<p>Your primary responsibilities will be to:</p>\n<ul>\n<li>Guide the development of highly connected data systems that enable data-driven, model-based analytics to improve pipeline effectiveness and efficiency;</li>\n<li>Work with multifunctional teams to enable data connectivity across the editing pipeline, integrating information from lab, greenhouse, and field operations;</li>\n<li>Collaborate with partner teams across Crop Science (Gene Editing, IT Enterprise, Data and Engineering) to automate decision making and improve operational efficiency to accelerate development of gene-edited products;</li>\n<li>Serve as a key communicator translating business data knowledge and operational workflows into clear technical implementation plans for data scientists, data engineers, and developers;</li>\n<li>Demonstrate autonomy in building relationships and networks within your unit and across functions, most often with members of the Crop Genome Editing team and closely aligned partner teams;</li>\n<li>Act as a consultant to leadership and colleagues on digital strategy and data-driven operations through clear, organized, and influential communication;</li>\n<li>Actively build your own acumen in biology, genome design, and digital operations while sharing best practices and learnings with the broader Biology and Genome Design community.</li>\n</ul>\n<p>We seek an incumbent who possesses the following qualifications:</p>\n<ul>\n<li>PhD in Computational Biology, Computer Science and Engineering, or another relevant scientific field with a minimum of 6 years of relevant experience, or MS with 10+ years of relevant experience;</li>\n<li>Demonstrated track record developing data systems and pipelines that enable efficient product delivery and operational modeling;</li>\n<li>Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals;</li>\n<li>Demonstrated experience leading and influencing activities of cross-functional teams without direct reporting relationships;</li>\n<li>Ability to lead and influence key stakeholders through challenges and opportunities and to facilitate solutions.</li>\n</ul>\n<p>Preferred qualifications include experience building data pipelines as a ML DevOps Engineer or Data Engineer, experience with Operations Research, and experience analyzing large biological datasets and developing analytical pipelines using Python, R, or similar software and languages.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b2aae11e-f20","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976597728","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$114,400.00 - $171,600.00","x-skills-required":["Computational Biology","Computer Science and Engineering","Data Systems","Pipeline Development","Collaboration","Communication","Digital Strategy","Data-Driven Operations"],"x-skills-preferred":["ML DevOps Engineer","Data Engineer","Operations Research","Python","R","Cloud Development Environments"],"datePosted":"2026-04-18T22:11:11.496Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"Computational Biology, Computer Science and Engineering, Data Systems, Pipeline Development, Collaboration, Communication, Digital Strategy, Data-Driven Operations, ML DevOps Engineer, Data Engineer, Operations Research, Python, R, Cloud Development Environments","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":114400,"maxValue":171600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3f2cb60f-80a"},"title":"Senior Genome Editing Digital Enablement","description":"<p>At Bayer, we&#39;re seeking a Senior Genome Editing Digital Enablement Scientist to join our team. As a key partner and enabler of multi-disciplinary teams, you will design large-scale data systems and analytical pipelines that power our gene editing efforts. You will develop analytical tools that connect biological and operations data to support more efficient and accurate decisions across the gene editing pipeline. Your expertise in both computational biology and genetics will be essential in driving and coordinating multi-functional teams to enable robust data connectivity and interoperability across the editing pipeline.</p>\n<p>In this role, you will lead cross-functional projects with IT, Data Engineering, Genome Editing, and other partner teams to automate decision making and connect data to accelerate development of gene-edited products. You will translate complex biological processes into scalable digital workflows that support decision making, advancement, and prioritization within the gene editing program. 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You will serve as a key communicator and thought partner on digital enablement strategy, clearly articulating requirements, trade-offs, and opportunities to scientific and non-scientific stakeholders.</p>\n<p>We seek an incumbent who possesses a PhD in Genomics, Computational Biology, Evolution, Quantitative Genetics, or another relevant scientific field with a minimum of 6 years of relevant experience, or an MS with 10+ years of experience developing data systems and analytics pipelines that enable product delivery using genetic and computational biology datasets.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3f2cb60f-80a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bayer Crop Science","sameAs":"https://talent.bayer.com","logo":"https://logos.yubhub.co/talent.bayer.com.png"},"x-apply-url":"https://talent.bayer.com/careers/job/562949976613783","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$114,400.00 - $171,600.00","x-skills-required":["computational biology","genetics","data systems","analytical pipelines","Python","R","large-scale biological datasets"],"x-skills-preferred":["genome-wide association GWAs data","QTL analysis","candidate gene analysis","gene expression analysis","molecular marker development","pedigree data"],"datePosted":"2026-04-18T22:11:02.858Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"computational biology, genetics, data systems, analytical pipelines, Python, R, large-scale biological datasets, genome-wide association GWAs data, QTL analysis, candidate gene analysis, gene expression analysis, molecular marker development, pedigree data","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":114400,"maxValue":171600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3ab805c4-f33"},"title":"Quality Control Technician","description":"<p>We&#39;re looking for a Quality Control Technician to join our team at our Millville site. 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Professional Development: High-impact experts expand their influence through review projects, advisory roles, and research,while deepening their AI expertise, strengthening analytical and problem-solving skills, and engaging with pioneering AI applications in science and technology. Join a Top-Tier Network: Collaborate with a global network of academics and experts to advance responsible AI through impactful, flexible research and training. 80% of our members come from leading institutions. Flexible Schedule: Set your own schedule, with flexible 10–40 hour weeks that fit around your life and other commitments. Competitive Pay: Project pay rates vary across platforms and are depending on a number of factors, including but not limited to; projects, scope, skillset, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_780e371b-60c","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Human Frontier Collective","sameAs":"https://humanfrontiercollective.org/","logo":"https://logos.yubhub.co/humanfrontiercollective.org.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4574113005","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"contract","x-salary-range":null,"x-skills-required":["AI","Machine Learning","Computer Science","Physics","Biology","Chemistry","Mathematics","Humanities"],"x-skills-preferred":[],"datePosted":"2026-04-18T16:01:26.733Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"CONTRACTOR","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, Machine Learning, Computer Science, Physics, Biology, Chemistry, Mathematics, Humanities"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_89a98b47-e2f"},"title":"STEM Fellow - Human Frontier Collective (UK)","description":"<p>This is a fully remote, 1099 independent contractor opportunity with an estimated duration of six months and the potential for extension.</p>\n<p>As an HFC Fellow, you&#39;ll apply your academic and professional expertise to help design, evaluate, and interpret advanced generative AI systems,while gaining exposure to cutting-edge research and working alongside an interdisciplinary network of leading thinkers.</p>\n<p>Responsibilities: Collaborative Work: Get invited to engage in high-impact projects with our partnered AI labs and platforms. 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We invest deeply in building and scaling data sources to train and evaluate our models for maximal performance. At the same time, careful validation in orthogonal, translationally-relevant assays is crucial to orient our models.</p>\n<p>We are seeking a senior scientific leader versed in high-throughput and translational biology to drive the continued growth and impact of our Palo Alto Lab. You will be a force multiplier for our scientists and engineers, ensuring a high standard of scientific rigor and output in a fast-paced, dynamic environment. 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Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone - A buddy to help you get settled *Varies by country and does not apply to internships</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_cf82e408-47b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/5060348007","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$245K – $305K + Bonus + Equity","x-skills-required":["high-throughput and translational biology","AI model development","data science","molecular and cellular biology","experimental design"],"x-skills-preferred":["translational experience with mRNA, oligonucleotides, or other genetic medicines","expertise in immunology and/or cell therapy","hands-on experience in RNA biology and biochemistry","scientific programming in Python","hands-on experience with modern data engineering workflows"],"datePosted":"2026-04-18T15:57:27.652Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"high-throughput and translational biology, AI model development, data science, molecular and cellular biology, experimental design, translational experience with mRNA, oligonucleotides, or other genetic medicines, expertise in immunology and/or cell therapy, hands-on experience in RNA biology and biochemistry, scientific programming in Python, hands-on experience with modern data engineering workflows","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":245000,"maxValue":305000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e4c483d6-b25"},"title":"Research Operations, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.</p>\n<p>Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn&#39;t just talent: it&#39;s the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.</p>\n<p>This role sits at the intersection of research operations, technical program management, and product strategy. You&#39;ll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. Visa sponsorship: We do sponsor visas!</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_e4c483d6-b25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5188237008","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$210,000-$310,000 USD","x-skills-required":["research operations","technical program management","software development","machine learning","biology R&D","contractor management","external partner management","written communication","project coordination","team logistics"],"x-skills-preferred":["expert contractor network management","ML research workflows","product development","product strategy"],"datePosted":"2026-04-18T15:56:46.902Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"research operations, technical program management, software development, machine learning, biology R&D, contractor management, external partner management, written communication, project coordination, team logistics, expert contractor network management, ML research workflows, product development, product strategy","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":210000,"maxValue":310000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_030d0558-4cf"},"title":"Open Apply","description":"<p>At Inceptive, you will drive research forward that could help billions of people. As part of a collaborative, interdisciplinary team building our biological software, you will work alongside scientists, deep learning researchers, engineers, and entrepreneurs.</p>\n<p>To accomplish this, you will be available to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET. You will also be ready to travel several times a year for company retreats and business events.</p>\n<p>We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations.</p>\n<p>As a member of our team, you will receive a competitive compensation package, including $105K – $240K + Bonus + Equity. You will also enjoy 30 days paid vacation per year, comprehensive health insurance for US-based beginners, and a 401K with company match for US-based beginners and Direktversicherung for German beginners.</p>\n<p>Additionally, you will participate in quarterly company-wide retreats, monthly wellness benefits, and budget for multiple visits per year to our offices in Berlin, Palo Alto, or Switzerland. You will also have access to the Learning &amp; Development platform EdX and Hone, as well as a buddy to help you get settled.</p>\n<p>Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.</p>\n<p>We approach our goals with a beginner&#39;s mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.</p>\n<p>We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don&#39;t yet have solutions for.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_030d0558-4cf","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4085997007","x-work-arrangement":"hybrid","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$105K – $240K + Bonus + Equity","x-skills-required":["molecular biology","machine learning","software engineering","deep learning","biology"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:56:24.003Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto, Berlin, or Zurich"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"molecular biology, machine learning, software engineering, deep learning, biology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":105000,"maxValue":240000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b61e91e5-222"},"title":"Inside Sales Representative","description":"<p>We are looking for a highly motivated Inside Sales Representative to join our team!</p>\n<p>As an Inside Sales Representative, you will operate at the front end of the commercial organization,focused on generating, qualifying, and advancing early-stage opportunities while supporting consumables growth across the installed base and our Certified Service Provider (CSP) network.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Drive prospecting strategy: In partnership with regional marketing and field sales, execute targeted outbound and inbound outreach to generate high-quality leads and early-stage opportunities</li>\n<li>Champion cross-functional alignment: Serve as the conduit between marketing campaigns and inbound demand, facilitating coordinated execution and clear communication across field sales</li>\n<li>Build and expand pipeline: Research and map accounts, identify key stakeholders, and grow a robust pipeline of qualified opportunities</li>\n<li>Qualify and advance deals: Assess customer needs, timelines, budgets, and decision processes to ensure strong pipeline progression. Partner with the field sales team to win projects and increase consumables utilization across the installed base</li>\n<li>Tight communication and alignment with field sales: Work closely with Field Sales to ensure seamless opportunity handoff and follow-up</li>\n<li>Customer execution and quoting support: Provide timely and accurate quoting and pricing support to Field Sales. Support coordination and preparation for customer site visits and partner closely with internal teams (Finance, Service, Applications) to accelerate deal progression</li>\n<li>Leverage sales tools: Use CRM and marketing automation systems to track activity, maintain pipeline health, and optimize outreach</li>\n<li>Deliver market insights: Provide real-time feedback on customer priorities, competitive dynamics, and market trends to inform strategy</li>\n</ul>\n<p>Qualifications, Skills, Knowledge &amp; Abilities:</p>\n<ul>\n<li>BS in Biology, Genetics, Molecular Biology, Biochemistry, or related life-science field. Advanced degree preferred</li>\n<li>3+ years of experience in inside sales, sales development, pipeline generation, or customer-facing roles within life sciences or genomics</li>\n<li>Solid understanding of genetics, molecular biology, or Next-Generation Sequencing (NGS) workflows with related lab experience</li>\n<li>Demonstrated ability to meet or exceed pipeline-generation or activity targets</li>\n<li>Comfortable with CRM systems (Salesforce preferred) and prospecting tools</li>\n<li>Strong organizational and communication skills</li>\n<li>Must be a self-starter and able to work independently</li>\n<li>Willingness to travel up to 10% of the time as needed</li>\n</ul>\n<p>At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $70,000 and $82,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b61e91e5-222","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ultima Genomics","sameAs":"https://www.ultimagen.com/","logo":"https://logos.yubhub.co/ultimagen.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/ultimagenomics/jobs/5819634004","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$70,000 - $82,000","x-skills-required":["Genetics","Molecular Biology","Next-Generation Sequencing (NGS)","CRM systems","Prospecting tools","Salesforce"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:55:11.756Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fremont, California, United States"}},"employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"Genetics, Molecular Biology, Next-Generation Sequencing (NGS), CRM systems, Prospecting tools, Salesforce","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":70000,"maxValue":82000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_bf1d2cbb-e48"},"title":"High-throughput data generation to advance ML design","description":"<p>At Inceptive, you will drive development forward that could help billions of people. To accomplish this, you will be part of a collaborative, interdisciplinary team building our biological software.</p>\n<p>Our AI models learn to generate therapeutic molecules with improved properties by training on natural and experimentally-derived data. Acquiring data relevant to function at scale is a critical step in maximizing the performance of our models. We think broadly about the type and scale of data necessary to improve our models, then identify or invent the methods needed to acquire that data.</p>\n<p>You will be responsible for the development and deployment of novel high-throughput assays to measure various properties of large sequence libraries. You will use a data-driven approach to optimize assays and apply chemical and biological insights to maximize the utility of information collected. You will apply this data to efficiently improve design of therapeutic molecules in close collaboration with biologists, ML and data engineers, and translational experts.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise</li>\n</ul>\n<ul>\n<li>Collaborate with team members from diverse backgrounds to create experiments that creatively leverage biology and computation</li>\n</ul>\n<ul>\n<li>Develop and execute pooled assays to measure sequence-to-function in vitro, in cells, and in vivo</li>\n</ul>\n<ul>\n<li>Generate, analyze, and communicate data that maximally impacts AI-based molecular design</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>PhD and 4+ years of post-PhD experience (e.g., startup, industry, or research)</li>\n</ul>\n<ul>\n<li>Problem-solver who combines deep knowledge of experimental methods with quantitative intuition to generate biological data at and beyond the state-of-the-art</li>\n</ul>\n<ul>\n<li>Solid foundation in theory and techniques of molecular and cellular biology</li>\n</ul>\n<ul>\n<li>History of building highly multiplexed assays to generate rich datasets from mammalian cells, such as large functional screens or single-cell &#39;omics</li>\n</ul>\n<ul>\n<li>Scientific programming (preferably in Python), including analysis and visualization of complex data</li>\n</ul>\n<ul>\n<li>Availability to work with team members across US and Europe, with meetings starting at 8am PT</li>\n</ul>\n<ul>\n<li>Readiness to travel several times a year for company retreats and business events</li>\n</ul>\n<ul>\n<li>We value in-person collaboration and expect candidates to work at our lab location</li>\n</ul>\n<p><strong>Preferred skills</strong></p>\n<ul>\n<li>Experience with mammalian synthetic biology, particularly for cell therapy applications</li>\n</ul>\n<ul>\n<li>Knowledge of RNA biology, biochemistry, and biologics drug development</li>\n</ul>\n<ul>\n<li>Strong understanding of next-generation sequencing platforms (Illumina, Oxford Nanopore, Pac Bio), including library preparation and data analysis</li>\n</ul>\n<ul>\n<li>Experience generating and analyzing large &#39;omics datasets, via sequencing and/or mass spectrometry</li>\n</ul>\n<p>Compensation</p>\n<p>$135K – $240K + Bonus + Equity</p>\n<p>What we offer</p>\n<ul>\n<li>A competitive compensation package</li>\n</ul>\n<ul>\n<li>30 days paid vacation per year</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance for US based Beginners</li>\n</ul>\n<ul>\n<li>401K with company match for US based Beginners and Direktversicherung for German Beginners</li>\n</ul>\n<ul>\n<li>Quarterly company-wide retreats</li>\n</ul>\n<ul>\n<li>Monthly wellness benefit</li>\n</ul>\n<ul>\n<li>Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland</li>\n</ul>\n<ul>\n<li>Learning &amp; 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Track and publish stability program metrics. Act as the primary contact for stability-related inquiries.</li>\n<li>Oversee and manage Formation Bio&#39;s critical reagents and reference standards inventory and testing.</li>\n<li>Lead investigations of release and stability OOS and OOT results, deviations, CAPAs and change controls.</li>\n<li>Author and review analytical sections of CMC documents, including protocols, reports, and regulatory submissions.</li>\n<li>Author and review of SOPs and work instructions.</li>\n<li>Closely collaborate with CMC, QA, and Regulatory teams.</li>\n</ul>\n<p><strong>About You</strong></p>\n<ul>\n<li>Analytical Chemistry, Biochemistry, Molecular Biology, or a related discipline Master&#39;s degree with 5+ years or Bachelor&#39;s Degree with 8+ years of relevant small molecule and biologics analytical development and QC experience.</li>\n<li>Proven ability to operate effectively in a fast-paced, virtual, and outsourced development environment.</li>\n<li>Highly organised with a track record of managing multiple priorities across programs in an outsourced development model.</li>\n<li>Strong scientific judgement with the ability to independently assess data quality, identify risks, and recommend mitigation strategies.</li>\n<li>Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders.</li>\n<li>Collaborative mindset with a strong sense of ownership and accountability.</li>\n<li>Extensive hands-on experience developing, optimising, and validating analytical methods for release and stability testing of small molecules and biologics.</li>\n<li>Hands-on experience with analytical methods pertinent to bilogics (qPCR, IEF, UHPLC, MS, CE, SDS-PAGE, ELISA, peptide mapping, glycan analysis, etc.) and small molecules (UHPLC, IC, GC, IR, UV, KF, PSD, dissolution, etc.).</li>\n<li>Experience with authoring and reviewing technical documents such as test methods, method development reports, validation protocols, validation reports, specification justification reports, retest and shelf-life memos, and SOPs.</li>\n<li>Experience with designing stability studies and performing stability data trending according to applicable guidances.</li>\n<li>Strong working knowledge of Smartsheet and JMP.</li>\n<li>Thorough understanding of ICH, FDA, EMA guidances and GMP requirements governing process development, manufacturing, and stability.</li>\n<li>Ability to travel domestically and internationally up to 25% of the time.</li>\n</ul>\n<p><strong>Total Compensation Range</strong></p>\n<p>$177,000 - $235,000</p>\n<p><strong>Where We Hire</strong></p>\n<p>Formation Bio is prioritising hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d5954a0d-cd7","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Formation Bio","sameAs":"https://www.formationbio.com/","logo":"https://logos.yubhub.co/formationbio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/formationbio/jobs/7529162","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$177,000 - $235,000","x-skills-required":["Analytical Chemistry","Biochemistry","Molecular Biology","Small Molecule Analysis","Biologics Analysis","Method Development","Method Validation","Stability Testing","Quality Control","Regulatory Compliance","ICH Guidelines","FDA Guidelines","EMA Guidelines","GMP Requirements"],"x-skills-preferred":["Smartsheet","JMP","qPCR","IEF","UHPLC","MS","CE","SDS-PAGE","ELISA","Peptide Mapping","Glycan Analysis"],"datePosted":"2026-04-18T15:54:49.357Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; Boston, MA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Analytical Chemistry, Biochemistry, Molecular Biology, Small Molecule Analysis, Biologics Analysis, Method Development, Method Validation, Stability Testing, Quality Control, Regulatory Compliance, ICH Guidelines, FDA Guidelines, EMA Guidelines, GMP Requirements, Smartsheet, JMP, qPCR, IEF, UHPLC, MS, CE, SDS-PAGE, ELISA, Peptide Mapping, Glycan Analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":177000,"maxValue":235000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_a922c6ae-3c1"},"title":"Technical CBRN-E  Threat Investigator","description":"<p>We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic&#39;s AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.</p>\n<p>You will work at the intersection of AI safety and CBRN security, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against threat actors who may attempt to leverage our AI technology for developing weapons, synthesizing dangerous compounds, or creating biological harm.</p>\n<p>Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. 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Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health.</p>\n<p>We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors.</p>\n<p>Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders.</p>\n<p>Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Work in a fast-paced cross-functional, technologically advanced corporate environment in an internship program focused on developing individuals capable of pursuing careers in biotech</li>\n<li>Improve your industry knowledge through a collaborative work environment</li>\n</ul>\n<p><strong>Qualifications, Skills, Knowledge &amp; Abilities</strong></p>\n<ul>\n<li>Currently a student in an accredited degree program pursuing a bachelor’s degree in Chemistry, Biology, Biotechnology or closely related disciplines</li>\n<li>Have an overall cumulative GPA of 3.00/4.00 or higher</li>\n<li>Onsite work schedule, Monday-Friday (40 hours per week) for at least 8 weeks during summer 2026</li>\n<li>Previous hands-on lab experience (school or industry) is strongly preferred</li>\n<li>Self-motivated, detail-oriented, willing to learn, and interested in working in a team environment</li>\n<li>Great work ethic and an enthusiasm for problem-solving</li>\n<li>Good presentation, writing and communication skills</li>\n<li>Strong organizational and analytical skills</li>\n</ul>\n<p><strong>What to include when you apply:</strong></p>\n<ul>\n<li>Resume (PDF)</li>\n<li>Unofficial academic transcripts</li>\n<li>Cover letter should include:</li>\n</ul>\n<ul>\n<li>Description of your relevant experience and qualifications</li>\n<li>List your availability for the internship (start date and end date)</li>\n<li>Expected graduation year</li>\n<li>How you found out about the internship</li>\n</ul>\n<p><strong>Internship Details</strong></p>\n<p>This internship pays between $22 and $25 per hour, and your hourly rate will depend on your skills, qualifications, experience, and location.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_83c98232-27b","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Ultima Genomics","sameAs":"https://www.ultimagen.com/","logo":"https://logos.yubhub.co/ultimagen.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/ultimagenomics/jobs/5753530004","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"internship","x-salary-range":"$22-$25 per hour","x-skills-required":["Chemistry","Biology","Biotechnology","Lab experience","Presentation skills","Writing skills","Communication skills","Organizational skills","Analytical skills"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:53:03.899Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Fremont, California, United States"}},"employmentType":"INTERN","occupationalCategory":"Engineering","industry":"Technology","skills":"Chemistry, Biology, Biotechnology, Lab experience, Presentation skills, Writing skills, Communication skills, Organizational skills, Analytical skills"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_19c6b9e4-ff6"},"title":"Foundation and generative models for biomolecules","description":"<p>At Inceptive, you will drive forward development that could help billions of people. You will be part of a collaborative, interdisciplinary team building our biological software.</p>\n<p>The design space of biomolecules is unimaginably vast , far beyond what can be explored experimentally. Yet within this space lie molecules with properties essential for new medicines. Our machine learning models learn to design therapeutic biomolecules with specific, desirable functions.</p>\n<p>We advance the state of the art in molecular design by training large-scale foundation models and developing cutting-edge generative approaches. The models learn from diverse heterogeneous datasets and are refined through focused fine-tuning and feedback from experiments. Key to progress is a team that combines exceptional machine learning expertise with thorough domain understanding.</p>\n<p>You will collaborate closely with other machine learning researchers and engineers, as well as computational and experimental biologists, to advance these models and translate their capabilities into real therapeutic designs.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Embody our vision of an interdisciplinary environment and embrace learning about areas outside of your traditional area of expertise</li>\n</ul>\n<ul>\n<li>Develop, implement, train, and iteratively improve state-of-the-art models for biomolecule design</li>\n</ul>\n<ul>\n<li>Analyze, visualize, and communicate results to support team efforts in improving models and data</li>\n</ul>\n<ul>\n<li>Create, deploy, and refine tools for efficient, reliable machine learning experimentation and production</li>\n</ul>\n<ul>\n<li>Work with biologists to collect data for the training and evaluation of generative models of biomolecules</li>\n</ul>\n<ul>\n<li>Provide mentorship and technical direction to team members as appropriate</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>3+ years of hands-on experience developing ML models</li>\n</ul>\n<ul>\n<li>Demonstrated track record of implementing, training, improving advanced machine learning models</li>\n</ul>\n<ul>\n<li>Highly capable programmer fluent in Python ecosystem and PyTorch or similar deep learning framework</li>\n</ul>\n<ul>\n<li>Availability to work with team members across US and Europe, with meetings starting at 8am PT and ending at 7pm CET</li>\n</ul>\n<ul>\n<li>Readiness to travel several times a year for company retreats and business events</li>\n</ul>\n<p><strong>Compensation</strong></p>\n<p>$200K – $275K + Bonus + Equity</p>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>A competitive compensation package</li>\n</ul>\n<ul>\n<li>30 days paid vacation per year</li>\n</ul>\n<ul>\n<li>Comprehensive health insurance for US based employees</li>\n</ul>\n<ul>\n<li>401K with company match for US based employees and Direktversicherung for German employees</li>\n</ul>\n<ul>\n<li>Quarterly company-wide retreats</li>\n</ul>\n<ul>\n<li>Monthly wellness benefit</li>\n</ul>\n<ul>\n<li>Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland</li>\n</ul>\n<ul>\n<li>Learning &amp; Development budget to attend conferences, take courses, or otherwise invest in your professional growth, as well as access to the Learning &amp; Development platform EdX and Hone</li>\n</ul>\n<ul>\n<li>A buddy to help you get settled</li>\n</ul>\n<p>At Inceptive, we are creating tools to develop increasingly powerful biological software for the rational design of novel, broadly accessible medicines and biotechnologies previously out of reach. Our team brings together vast expertise in molecular biology, machine learning, and software engineering, and we are all working towards becoming interdisciplinary, meaning we deepen the knowledge we have in our area of expertise while also expanding our knowledge of completely new fields.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_19c6b9e4-ff6","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Inceptive","sameAs":"https://inceptive.com","logo":"https://logos.yubhub.co/inceptive.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/inceptive/jobs/4961579007","x-work-arrangement":"onsite","x-experience-level":"entry|mid|senior|staff|executive","x-job-type":"full-time","x-salary-range":"$200K – $275K + Bonus + Equity","x-skills-required":["Python","PyTorch","Machine Learning","Deep Learning","Biological Software","Molecular Design","Generative Models","Domain Understanding","Interdisciplinary Teamwork"],"x-skills-preferred":["PhD in AI/ML, computer science, computational biology, physics, or a related field","Strong skills in designing, executing, and documenting machine learning experiments","Practical experience with modern generative models","Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration","Experience with large-scale model training, foundation models, model parallelism, multi-node training","Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc","Knowledge of biochemistry, molecular/cell biology, and drug development"],"datePosted":"2026-04-18T15:52:21.853Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berlin, Germany or Palo Alto, CA or Zurich, Switzerland"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, PyTorch, Machine Learning, Deep Learning, Biological Software, Molecular Design, Generative Models, Domain Understanding, Interdisciplinary Teamwork, PhD in AI/ML, computer science, computational biology, physics, or a related field, Strong skills in designing, executing, and documenting machine learning experiments, Practical experience with modern generative models, Strong software engineering skills, in particular for data processing, evaluation of ML models, compute cluster orchestration, Experience with large-scale model training, foundation models, model parallelism, multi-node training, Experience with bio sequence data and datasets — various genomic and protein data, sequencing, functional assays, etc, Knowledge of biochemistry, molecular/cell biology, and drug development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":200000,"maxValue":275000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d951cdda-dc5"},"title":"Research Operations, Discovery","description":"<p><strong>About the Role</strong></p>\n<p>We&#39;re seeking a Science Research Operations team member to build and own the operational infrastructure that keeps our research organisation running at full speed.</p>\n<p>Our science teams are working on some of the hardest and most consequential problems in AI,training large-scale models, running complex experiments, and building novel products at the frontier. What makes that possible isn&#39;t just talent: it&#39;s the coordination, systems, and programs that let researchers spend their time on the science rather than the overhead around it.</p>\n<p>This role sits at the intersection of research operations, technical program management, and product strategy. You&#39;ll work directly with research scientists and research engineers, doing a mix of tasks including running research partnerships, managing complex internal programs, and helping run the team’s day-to-day operations.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Build and manage custom expert contractor networks, sourcing domain specialists for eval and training data work that requires expertise beyond standard channels</li>\n<li>Run research partnerships with external partners, from scoping through delivery</li>\n<li>Provide end-to-end TPM support for major research pushes,coordinating across teams, tracking dependencies, and keeping stakeholders aligned</li>\n<li>Ensure that our research progress is complemented by products that enable scientists to make maximal use of model capabilities.</li>\n<li>Support recruiting efforts.</li>\n<li>Coordinate external communications for the team, including supporting blog posts and preparing public-facing materials</li>\n<li>Partner with product teams to contribute to science product strategy, product design, and novel product integrations where research and product intersect</li>\n<li>Own team logistics including onboarding coordination, team events, and operational programs that improve team efficiency</li>\n</ul>\n<p><strong>You may be a good fit if you:</strong></p>\n<ul>\n<li>Have experience in research operations, technical program management, or a related role in a fast-moving technical environment</li>\n<li>Can context-switch fluidly between operational work (logistics, tracking, coordination) and higher-order work (strategy, partnerships, product thinking)</li>\n<li>Have a technical background, with experience in software development, machine learning, or biology R&amp;D.</li>\n<li>Are comfortable working directly with research scientists and engineers,you ask good questions, you don&#39;t need things explained twice, and you know when to escalate vs. when to handle it yourself</li>\n<li>Have a track record of building systems and processes from scratch rather than inheriting them</li>\n<li>Bring strong written communication skills and can represent the team accurately in external-facing materials</li>\n<li>Have managed contractors or external partners before, including scoping work, tracking delivery, and ensuring quality</li>\n<li>Are results-oriented, with a bias toward flexibility and impact</li>\n<li>Thrive in ambiguous, fast-moving environments where priorities shift and no two weeks look the same</li>\n</ul>\n<p><strong>Strong candidates may also have:</strong></p>\n<ul>\n<li>Direct experience sourcing and managing expert contractor networks, particularly in technical or scientific domains</li>\n<li>Familiarity with ML research workflows,training runs, evaluations, data pipelines,and what makes them succeed or stall</li>\n<li>Experience contributing to product development or product strategy, not just operations</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p>Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the research operations role Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. 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As a member of this team, you will apply your technical skills to design and develop safety systems that detect harmful behaviors and prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and execute capability evaluations to assess the capabilities of new models</li>\n<li>Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimizing for both robustness against adversarial attacks and low false-positive rates for legitimate researchers</li>\n<li>Analyze safety system performance in traffic, identifying gaps and proposing improvements</li>\n<li>Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces</li>\n<li>Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle</li>\n<li>Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety</li>\n<li>Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these</li>\n</ul>\n<p>You may be a good fit for this role if you have a PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, or equivalent professional experience. You should also have extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred), deep expertise in modern biology, including both &#39;reading&#39; and &#39;writing&#39; techniques in biology, familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks, strong analytical and writing skills, and a passion for learning new skills and adapting to changing techniques and technologies.</p>\n<p>Preferred qualifications include background in AI/ML systems, particularly experience with large language models, experience in developing ML for biological systems, and extensive experience in complex projects with multiple stakeholders.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d1c3717f-844","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5066977008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000-$320,000 USD","x-skills-required":["PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field","Extensive experience in scientific computing and data analysis","Proficiency in programming (Python preferred)","Deep expertise in modern biology","Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks"],"x-skills-preferred":["Background in AI/ML systems","Experience with large language models","Experience in developing ML for biological systems","Extensive experience in complex projects with multiple stakeholders"],"datePosted":"2026-04-18T15:38:51.239Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, Extensive experience in scientific computing and data analysis, Proficiency in programming (Python preferred), Deep expertise in modern biology, Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks, Background in AI/ML systems, Experience with large language models, Experience in developing ML for biological systems, Extensive experience in complex projects with multiple stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_2879383a-868"},"title":"Biology Tutor","description":"<p><strong>About the Role</strong></p>\n<p>As a Biology Specialist at xAI, you will be instrumental in enhancing our cutting-edge AI technologies by providing high-quality input and labels using specialized software.</p>\n<p>You will collaborate closely with our technical team to support the training of new AI tasks, contributing to innovative initiatives. Your responsibilities include refining annotation tools and selecting complex problems from advanced biological fields to drive significant improvements in model performance.</p>\n<p>This involves gathering or providing data in text, voice, and video formats, including annotations, audio recordings, or video sessions,tasks with which you must be comfortable and eager to engage.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Use proprietary software applications to provide input/labels on defined projects.</li>\n<li>Support and ensure the delivery of high-quality curated data.</li>\n<li>Play a pivotal role in supporting and contributing to the training of new tasks, working closely with the technical staff to ensure the successful development and implementation of cutting-edge initiatives/technologies.</li>\n<li>Interact with the technical staff to help improve the design of efficient annotation tools.</li>\n<li>Solve problems that help drive innovation in life sciences by guiding AI models to enhance research in specialized areas, improving outcomes in scientific discovery and application.</li>\n<li>Choose problems from fields across biology, biotechnology and life sciences that align with your expertise in specialized subdomains such as genomic analysis, evolutionary biology, or drug discovery, where you can confidently provide detailed solutions and evaluate model responses.</li>\n<li>Regularly interpret, analyze, and execute tasks based on given instructions.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<ul>\n<li>Master’s or PhD in a biology-related field.</li>\n<li>Expertise in one or more of the following: Genetics, Genomics, Developmental Biology, Systems Biology, Physiology and Anatomy, Evolution, Microbiology, Plant Biology, Zoology and Animal Biology, Marine Biology and Oceanography, Epidemiology, Biostatistics, Public Health, Pharmacology, Toxicology and Drug Discovery.</li>\n<li>Proficiency in reading and writing, both in informal and professional English.</li>\n<li>Strong ability to navigate various information resources, databases, and online resources is essential.</li>\n<li>Outstanding communication, interpersonal, analytical, and organizational capabilities.</li>\n<li>Solid reading comprehension skills combined with the capacity to exercise autonomous judgment even when presented with limited data/material.</li>\n<li>Strong passion for and commitment to technological advancements and innovation.</li>\n</ul>\n<p><strong>Preferred Skills and Experience</strong></p>\n<ul>\n<li>Advanced expertise in biology, demonstrated by multiple publications, including at least one first-author paper, in reputable peer-reviewed journals</li>\n<li>Previous AI Tutoring experience.</li>\n<li>Teaching experience (as a professor, teacher, or tutor).</li>\n<li>Experience in technical writing, journalism, or a professional writing setting.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_2879383a-868","directApply":true,"hiringOrganization":{"@type":"Organization","name":"xAI","sameAs":"https://www.xai.com","logo":"https://logos.yubhub.co/xai.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/xai/jobs/4925783007","x-work-arrangement":"remote","x-experience-level":"mid","x-job-type":"full-time|part-time|contract","x-salary-range":"$45/hour - $75/hour","x-skills-required":["Proprietary software applications","Curated data","Annotation tools","Genomic analysis","Evolutionary biology","Drug discovery","Interpretation","Analysis","Execution"],"x-skills-preferred":["Advanced expertise in biology","Previous AI Tutoring experience","Teaching experience","Technical writing","Journalism","Professional writing setting"],"datePosted":"2026-04-18T15:33:22.982Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Proprietary software applications, Curated data, Annotation tools, Genomic analysis, Evolutionary biology, Drug discovery, Interpretation, Analysis, Execution, Advanced expertise in biology, Previous AI Tutoring experience, Teaching experience, Technical writing, Journalism, Professional writing setting"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_9f76f06c-94e"},"title":"Senior Scientist, Discovery Biology","description":"<p>About Rezo Therapeutics</p>\n<p>Rezo Therapeutics is a biopharma company developing a disease-agnostic, fully-integrated, network biology platform to redefine the understanding of human disease and ability to treat it. Located in San Francisco&#39;s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.</p>\n<p>The Opportunity</p>\n<p>We are hiring a Senior Scientist, Discovery Biology to join Rezo&#39;s Biology Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics, structural biology, and AI to tackle challenging biological questions and develop transformative therapies.</p>\n<p><strong>Key Responsibilities:</strong></p>\n<ul>\n<li>Develop and optimize molecular and cellular assays to study protein function in 2D/3D tumor models.</li>\n<li>Design and execute CRISPR-based genetic studies to evaluate target function and therapeutic potential.</li>\n<li>Develop and conduct cell-based functional assays to profile small molecule drugs and inform structure-activity relationships (SAR).</li>\n<li>Analyze experimental data, interpret findings, and prepare reports for internal discussions, regulatory filings.</li>\n<li>Collaborate across interdisciplinary teams and effectively communicate scientific results.</li>\n<li>Manage multiple projects efficiently in a dynamic and fast-paced setting.</li>\n</ul>\n<p><strong>Qualifications:</strong></p>\n<ul>\n<li>PhD in cancer biology, or a related field with relevant postdoctoral or industry experience.</li>\n<li>Candidates with a Master’s or Bachelor’s degree with 10-12+ years of expertise, including CRISPR technologies and cancer research, are also encouraged to apply.</li>\n<li>Strong hands-on experience with 2D/3D tumor models and molecular biology techniques.</li>\n<li>Proficiency in genetic manipulation of cancer cells, including CRISPR/Cas9, RNAi, and other genome-editing tools.</li>\n<li>In-depth knowledge of the molecular and cellular mechanisms driving oncogenesis.</li>\n<li>Skilled in performing immunoblotting, proliferation/apoptosis assays, and phenotypic screening assays.</li>\n<li>Proven ability to work independently while fostering collaboration in a team environment.</li>\n<li>Excellent organizational, communication, and interpersonal skills.</li>\n</ul>\n<p><strong>Additional Information</strong></p>\n<p>Compensation at Rezo</p>\n<p>The expected starting salary range for this position based in San Francisco, California for Sr. Scientist is $135,000-$190,000. Actual starting salary will be determined based on multiple job-related factors including candidate’s skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity.</p>\n<p>Benefits at Rezo</p>\n<p>Medical (HMO or PPO), dental, and vision insurance Discretionary time off policy Company holidays (including summer and winter shutdown) 401(k) retirement savings program Commuter / Mass Transit Benefit Program Healthcare Flexible Spending Account (FSA) Dependent care Flexible Spending Account (FSA) Parental leave Competitive compensation Flexible work schedule</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_9f76f06c-94e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Rezo Therapeutics","sameAs":"https://rezotherapeutics.com/","logo":"https://logos.yubhub.co/rezotherapeutics.com.png"},"x-apply-url":"https://jobs.lever.co/rezotx/5a9ce58e-6c82-40ae-a2ba-7c4f586acc4e","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$135,000-$190,000","x-skills-required":["PhD in cancer biology","CRISPR technologies","cancer research","molecular biology techniques","genetic manipulation of cancer cells","genome-editing tools","immunoblotting","proliferation/apoptosis assays","phenotypic screening assays"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:53:30.750Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"PhD in cancer biology, CRISPR technologies, cancer research, molecular biology techniques, genetic manipulation of cancer cells, genome-editing tools, immunoblotting, proliferation/apoptosis assays, phenotypic screening assays","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":135000,"maxValue":190000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_62853242-635"},"title":"Open Application for Scientists and Research Associates","description":"<p>About Rezo Therapeutics</p>\n<p>Rezo Therapeutics is a biopharma company that aims to increase the success rate of drug development by building a disease-agnostic, fully-integrated, network biology platform.</p>\n<p>We are leveraging a unique integrated approach, combining capabilities in genetics, proteomics, structural biology and AI to generate deep biological insights and novel therapeutic approaches.</p>\n<p>Located in San Francisco&#39;s vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.</p>\n<p><strong>Responsibilities</strong></p>\n<p>If you do not see a job listing that matches your specific background, please apply to this posting as we will be looking for exceptional individuals in the following areas:</p>\n<p><strong>Proteomics</strong></p>\n<ul>\n<li>Develop industry scale assays using in-house mass spectrometers</li>\n<li>Execute platform projects centered on PPI mapping, proximity labeling, post-translational modification and abundance proteomics</li>\n<li>Support drug discovery campaigns and develop target-based screens</li>\n</ul>\n<p><strong>Genetics</strong></p>\n<ul>\n<li>Develop multimodal single and combinatorial genetic screens using CRISPR technologies</li>\n<li>Collaborate with target discovery teams to provide genetic support for targets and drug MOA</li>\n</ul>\n<p><strong>Chemical Biology and Protein Sciences</strong></p>\n<ul>\n<li>Develop HTS small molecule screening campaigns and create robust target assays for drug development</li>\n<li>Drive enzymology, biophysics and protein binding analysis efforts</li>\n<li>Help build out the structural biology platform (including crystallography &amp; Cryo-EM)</li>\n<li>Develop chemical biology tools to map ligandable pockets and aid in drug development</li>\n</ul>\n<p><strong>Cancer Biology</strong></p>\n<ul>\n<li>Implement cutting edge molecular and cellular techniques to determine target functions in cell-based solid tumor models</li>\n<li>Develop data packages to prioritize targets and nominate candidates to the drug discovery stage</li>\n<li>Individuals with expertise in oncogene/tumor suppressor pathways and/or drug resistance are especially encouraged to apply</li>\n</ul>\n<p><strong>Computational Biology, Data Science</strong></p>\n<ul>\n<li>Develop novel algorithms and apply deep learning-based approaches to network and proteomics datasets</li>\n<li>Implement cloud infrastructure, pipelines, and UI/UX for data analytics</li>\n<li>Conduct bioinformatic and statistical analyses of large, multimodal datasets</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Medical (HMO or PPO), dental, and vision insurance</li>\n<li>Discretionary time off policy</li>\n<li>Company holidays (including summer and winter shutdown)</li>\n<li>401(k) retirement savings program</li>\n<li>Commuter / Mass Transit Benefit Program</li>\n<li>Healthcare Flexible Spending Account (FSA)</li>\n<li>Dependent care Flexible Spending Account (FSA)</li>\n<li>Parental leave</li>\n<li>Competitive compensation</li>\n<li>Flexible work schedule</li>\n</ul>\n<p><strong>Equal Employment Opportunity</strong></p>\n<p>At Rezo we value a diverse, equitable, inclusive workplace and provide equal employment opportunity to all persons without regard to race, color, sex, gender identity, gender expression, religion, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_62853242-635","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Rezo Therapeutics","sameAs":"https://rezotherapeutics.com/","logo":"https://logos.yubhub.co/rezotherapeutics.com.png"},"x-apply-url":"https://jobs.lever.co/rezotx/afdf7d62-7e14-4c5b-8803-749100c1ffab","x-work-arrangement":"onsite","x-experience-level":null,"x-job-type":"full-time","x-salary-range":null,"x-skills-required":["proteomics","genetics","chemical biology","protein sciences","cancer biology","computational biology","data science"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:53:18.513Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"proteomics, genetics, chemical biology, protein sciences, cancer biology, computational biology, data science"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b21858d7-927"},"title":"Senior Software Engineer I","description":"<p>We are seeking a Senior Software Engineer I to help develop software to combat cancer. The ideal candidate will be excited to work as part of an interdisciplinary team of engineers and analysts building end-to-end solutions for our clinical and R&amp;D labs.</p>\n<p>You will be responsible for getting our state-of-the-art lab processes to interface with the rest of our systems. Depending on your skills and our needs, you&#39;ll be working on projects including distributed systems, system integration, database operations, and ETL.</p>\n<p>As a member of a fast-growing team, you’ll take the lead on major projects and collaborate actively with our world-class team of engineers, scientists, designers, and product managers.</p>\n<p>You are passionate about building reliable, maintainable, scalable, and fault-tolerant backend services, and you will have a significant impact on the continued growth of a high-profile technology organization that is changing the landscape on early cancer detection.</p>\n<p>The role reports to our engineering management team. This role will be a Remote role.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Design, develop, and deploy reliable, maintainable, scalable, and fault-tolerant LIS/LIMS software and backend services that power both our internal systems.</li>\n<li>Collaborate with team members for code and design reviews.</li>\n<li>Work with scientists, product analysts, technical product managers, and other engineers to solve complex problems in the face of lots of dynamism and uncertainty.</li>\n<li>Provide on-call support on a rotational basis.</li>\n<li>Guide and champion engineering hygiene and culture as a core part of the engineering backbone.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>BS in Computer Science, Engineering or related field, or equivalent training, fellowship, and/or work experience.</li>\n<li>3+ years of experience as a part of a software development team successfully shipping a software product.</li>\n<li>Expertise with Java.</li>\n<li>Experience with LIS/LIMS development, configuration, and deployments.</li>\n<li>Experience designing and implementing scalable backend systems.</li>\n<li>Excellent written and verbal communication skills.</li>\n<li>The ability to thrive in an environment where collaboration, communication, and compromise are an expected part of your day-to-day work.</li>\n<li>A mindful, transparent, and humane approach to your work and your interactions with others.</li>\n</ul>\n<p><strong>Nice to have:</strong></p>\n<ul>\n<li>Experience with Python.</li>\n<li>Experience in Kubernetes, Docker, MySQL, Microsoft Azure or Google Cloud Platform.</li>\n<li>Domain-specific experience in computational biology, genomics or a related field.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b21858d7-927","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8442405002","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$131,325-$189,525","x-skills-required":["Java","LIS/LIMS development","scalable backend systems","excellent written and verbal communication skills","BS in Computer Science, Engineering or related field","3+ years of experience as a part of a software development team"],"x-skills-preferred":["Python","Kubernetes","Docker","MySQL","Microsoft Azure","Google Cloud Platform","computational biology","genomics"],"datePosted":"2026-04-17T12:36:41.274Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Java, LIS/LIMS development, scalable backend systems, excellent written and verbal communication skills, BS in Computer Science, Engineering or related field, 3+ years of experience as a part of a software development team, Python, Kubernetes, Docker, MySQL, Microsoft Azure, Google Cloud Platform, computational biology, genomics","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":131325,"maxValue":189525,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d9617e30-42e"},"title":"Senior Computational Biologist I","description":"<p>We are seeking a Senior Computational Biologist, Assay Development to help grow our Computational Biology, Assay Development (CBAD) team. As part of our team, you will apply your scientific expertise to the development of early, non-invasive tests for cancer detection. With a strong background in bioinformatics, statistics, and molecular biology, you will develop, write, and execute analysis plans and reports for the development and characterization of our in vitro diagnostic devices and regulatory filings.</p>\n<p>The role reports to the Director of Computational Biology. This role can be Hybrid (2-3 days onsite in Brisbane, CA) or Remote role.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Plan and execute development experiments for our multiomics cancer screening tests.</li>\n<li>Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.</li>\n<li>Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection.</li>\n<li>Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams.</li>\n<li>Work closely with molecular and computational research teams developing our IVD products for blood-based molecular assays involving cell-free DNA.</li>\n<li>Impact patient lives through the development and launch of high-quality cancer screening technologies.</li>\n</ul>\n<p><strong>Requirements:</strong></p>\n<ul>\n<li>Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.</li>\n<li>3+ years of industry experience.</li>\n<li>Experience with molecular biology and next-generation sequencing.</li>\n<li>Experience in experimental design and analysis of high-throughput, quantitative technologies.</li>\n<li>Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.</li>\n<li>Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation.</li>\n<li>Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.</li>\n<li>Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail.</li>\n<li>Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.</li>\n</ul>\n<p><strong>Nice to Have:</strong></p>\n<ul>\n<li>Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred.</li>\n<li>Experience with a variety of NGS methods (e.g., WGS, target capture with UMI, bisulfite sequencing, RNA-seq).</li>\n</ul>\n<p><strong>Benefits and Additional Information:</strong></p>\n<p>The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_d9617e30-42e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8502244002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$161,925 - $227,325","x-skills-required":["bioinformatics","statistics","molecular biology","computational biology","next-generation sequencing","data analysis","data visualization","R","Python","version control"],"x-skills-preferred":["experience in the development of diagnostic devices in a regulated environment","experience with a variety of NGS methods"],"datePosted":"2026-04-17T12:36:26.179Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"bioinformatics, statistics, molecular biology, computational biology, next-generation sequencing, data analysis, data visualization, R, Python, version control, experience in the development of diagnostic devices in a regulated environment, experience with a variety of NGS methods","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":161925,"maxValue":227325,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_1d9019c9-d79"},"title":"Research Associate II","description":"<p>As a Research Associate II on Freenome&#39;s Scientific Operations team, you will be responsible for all things related to biospecimen accessioning as well as processing of whole blood samples into plasma, while also supporting downstream analytical testing using Freenome&#39;s multiomics assays.</p>\n<p>The role reports to Manager, Scientific Operations. This role will be an onsite role based in our Brisbane, California headquarters.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Perform routine lab work including pre-analytical sample processing, plasma isolation, and downstream genomics and proteomics assay processing.</li>\n<li>Operate liquid handler instruments to carry out experiments.</li>\n<li>Troubleshoot instrument and sample processing errors as needed; escalate and report issues through appropriate channels as needed.</li>\n<li>Identify and implement process improvements across the lab by thinking critically about the execution of all experiments.</li>\n<li>Verify all aspects of incoming specimens and assess acceptability for analytical testing.</li>\n<li>Maintain documentation for executed experiments.</li>\n<li>Perform equipment maintenance according to the laboratory&#39;s standard operating procedures for the following but not limited to: Hamiltons, Biosafety Cabinets, centrifuges, freezers, refrigerators, and pipettes, as needed.</li>\n<li>Assist with training of new laboratory personnel and training of new procedures with existing personnel.</li>\n<li>Document all corrective actions taken when test systems deviate from the laboratory&#39;s established performance specifications.</li>\n<li>Report all concerns of test quality and/or safety to the Supervisor or Safety Officer.</li>\n<li>Perform other miscellaneous laboratory duties as assigned and assist others as time allows.</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Bachelor&#39;s degree or Master&#39;s degree in molecular biology, biochemistry, genetics, chemical biology, or a related field.</li>\n<li>2+ years relevant industry experience in a laboratory setting.</li>\n<li>Experience working with 96 or 384 well plate format assays.</li>\n<li>Proven track record of following SOPs, work instructions or experimental designs to completion.</li>\n<li>Strong organizational skills and attention to detail.</li>\n<li>Ability to work, execute, and troubleshoot protocols independently.</li>\n</ul>\n<p>Nice to Have:</p>\n<ul>\n<li>Working understanding of GLP.</li>\n<li>Experience with NGS library preparation and/or sequencing.</li>\n<li>Experience with ELISA, Luminex, or other immunoassays.</li>\n<li>Familiarity with Liquid Handlers - Bravo, Hamilton, etc.</li>\n</ul>\n<p>Benefits and Additional Information:</p>\n<p>The US target range of our hourly rate for new hires is $37.68 - $46.69. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company&#39;s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_1d9019c9-d79","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8433576002","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$37.68 - $46.69 per hour","x-skills-required":["Molecular biology","Biochemistry","Genetics","Chemical biology","Laboratory management","Sample processing","Genomics","Proteomics","Liquid handler instruments","Troubleshooting","Process improvement","Equipment maintenance"],"x-skills-preferred":["GLP","NGS library preparation","Sequencing","ELISA","Luminex","Immunoassays","Liquid handlers"],"datePosted":"2026-04-17T12:36:03.086Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Molecular biology, Biochemistry, Genetics, Chemical biology, Laboratory management, Sample processing, Genomics, Proteomics, Liquid handler instruments, Troubleshooting, Process improvement, Equipment maintenance, GLP, NGS library preparation, Sequencing, ELISA, Luminex, Immunoassays, Liquid handlers"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0c16286e-a81"},"title":"Research Associate II","description":"<p>We are seeking a Research Associate II to help grow the Process Development team within Genomics Early Development. The ideal candidate will work to optimize next-generation sequencing (NGS) processes and develop new methodologies on our multiomics platform.</p>\n<p>This person will work cross-functionally with Research &amp; Development, Automation, Computation Science, Quality, Regulatory, Laboratory Operations, and Program Management on the development, characterization, scale-up and transfer of complex methodologies, processes and assays to Operations.</p>\n<p>You will apply hands-on knowledge of molecular biology, nucleic-acid biochemistry and next generation sequencing to develop and optimize NGS based methods and processes.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Execute experiments to characterize and optimize NGS workflows, converting prototypes into high-throughput automated assays.</li>\n<li>Participate in data analysis and visualizations to answer experimental questions and identify areas for workflow optimization.</li>\n<li>Present findings at team meetings and prepare technical reports for internal and external stakeholders.</li>\n<li>Collaborate with cross-functional teams to integrate process improvements into the overall diagnostic workflow.</li>\n<li>Assist with generating Standard Operating Procedures and Work Instructions with Laboratory Operations and Clinical Laboratory for transfer.</li>\n<li>Support troubleshooting workflow issues, perform root-cause determinant experiments and propose effective data-driven solutions.</li>\n<li>Maintain detailed records of experiments, data, results and methodologies in compliance with Good Laboratory and Documentation Practices (cGLP, cGDP).</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Bachelor’s or Master’s in Molecular Biology, Genetics, Biochemistry, or a related field with 2+ years of relevant industry experience.</li>\n<li>Hands-on experience in NGS based techniques, including nucleic acid extraction, library preparation, and sequencing.</li>\n<li>Experience with handling plasma and cfDNA in NGS workflows with low-volume, plate-based assay formats.</li>\n<li>Effectively communicates with team and cross-functional partners.</li>\n<li>High attention to detail - record and document accurate, objective observations, assess impact, and perform troubleshooting as needed.</li>\n<li>Excellent problem-solving skills, proactively looks for potential roadblocks, characterizes root causes to problems and collaborates with appropriate stakeholders.</li>\n<li>Ability to work independently as well as part of a cross-functional team.</li>\n<li>Flexible and adaptable to change and embrace a fluid work environment.</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Familiarity in a common scientific programming language (e.g., Python, R)</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0c16286e-a81","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8326792002","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$31.67 - $49.52 per hour","x-skills-required":["Molecular Biology","Nucleic Acid Biochemistry","Next Generation Sequencing","Library Preparation","Sequencing","Plasma and cfDNA Handling","Low-Volume Plate-Based Assay Formats","Good Laboratory and Documentation Practices"],"x-skills-preferred":["Python","R"],"datePosted":"2026-04-17T12:35:53.571Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Molecular Biology, Nucleic Acid Biochemistry, Next Generation Sequencing, Library Preparation, Sequencing, Plasma and cfDNA Handling, Low-Volume Plate-Based Assay Formats, Good Laboratory and Documentation Practices, Python, R"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_60d06469-da4"},"title":"Director, Technical Product Management","description":"<p>We are seeking a Director, Technical Product Management to help grow the Freenome Product Management team. The ideal candidate is a seasoned leader who bridges the gap between complex molecular biology and scalable software products in a regulated environment.</p>\n<p>This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation.</p>\n<p>You will define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li><p>Leading feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.</p>\n</li>\n<li><p>Directing the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.</p>\n</li>\n<li><p>Ensuring all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.</p>\n</li>\n<li><p>Collaborating with R&amp;D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.</p>\n</li>\n<li><p>Managing cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.</p>\n</li>\n<li><p>Establishing and monitoring key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment.</p>\n</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li><p>8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.</p>\n</li>\n<li><p>Proven experience with LIMS/LIS and laboratory automation workflows.</p>\n</li>\n<li><p>Deep familiarity with FDA software guidelines and CLIA regulations.</p>\n</li>\n<li><p>BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.</p>\n</li>\n<li><p>Demonstrated experience managing and scaling technical product teams in a regulated environment.</p>\n</li>\n</ul>\n<p>Nice to have qualifications include:</p>\n<ul>\n<li><p>MS or PhD in a technical or scientific field.</p>\n</li>\n<li><p>Experience with Next-Generation Sequencing (NGS) data pipelines.</p>\n</li>\n<li><p>Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.</p>\n</li>\n</ul>\n<p>The US target range of our base salary for new hires is $220,400 - $281,400. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_60d06469-da4","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8484030002","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$220,400 - $281,400","x-skills-required":["Technical Product Management","IVD","Medical Devices","Clinical SaaS","LIMS/LIS","Laboratory Automation","FDA software guidelines","CLIA regulations","Computer Science","Bioengineering","Molecular Biology"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:35:37.277Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Technical Product Management, IVD, Medical Devices, Clinical SaaS, LIMS/LIS, Laboratory Automation, FDA software guidelines, CLIA regulations, Computer Science, Bioengineering, Molecular Biology","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":220400,"maxValue":281400,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5fe1f7c3-505"},"title":"Laboratory Technician II","description":"<p>We are seeking a motivated Lab Technician to help grow the Freenome Scientific Operations team. The ideal candidate is eager to learn and able to work with urgency in an ever-changing environment. This person is responsible for all things related to R&amp;D support - reagents, equipment, consumables, study support. You will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Supervisor, R&amp;D Labs. This role will be an Onsite role.</p>\n<p>Responsibilities:\nCollaborate with the Research, Development, Automation, Facilities and Supply Chain teams to ensure consistent laboratory support.\nAssist Research Associates and Scientists in preparing and aliquoting reagents.\nPerform routine maintenance on a variety of laboratory equipment.\nAssist with troubleshooting R&amp;D lab equipment issues using established SOPs and WI’s.\nOperate automated liquid handling platforms to execute automated procedures.\nAssist with monitoring cold storage temperatures and respond to temperature excursion events.\nAssist with organizing and maintaining R&amp;D reagent and sample inventory documentation.\nAct as a role model by demonstrating adherence to all proper safety protocols.\nPerform Accessioning and processing of patient samples.\nSupport Biosample Management by picking and pulling samples.\nContribute to Study Execution by performing Genomics workflows.</p>\n<p>Requirements:\nBachelor&#39;s Degree with 1-2 years of related experience.\nStrong communication skills and the ability to collaborate across disciplines.\nExperience in writing or updating documentation such as WI’s, SOPs and maintaining a detailed Lab notebook.\nAbility to follow SOPs and troubleshoot effectively.\nStrong understanding of current molecular biology techniques and DNA sequencing.\nAttention to detail and documentation practices within a repetitive work function.</p>\n<p>Nice to Have:\nValuable supplementary skills include:\nExperience handling and preparing blood and tissue samples.\nProficiency with automated liquid handling platforms and software.\nExperience setting up Illumina sequencers.\nExperience maintaining laboratory equipment.\nExperience writing or updating documentation such as work instructions and SOPs.\nExperience working in BSL-2 laboratories and familiarity with 5S organizational practices.</p>\n<p>Benefits and Additional Information:\nThe US target range of our hourly rate for new hires is $30.60 - $39.12. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_5fe1f7c3-505","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8433592002","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$30.60 - $39.12 per hour","x-skills-required":["Bachelor's Degree","Communication skills","Documentation skills","Molecular biology techniques","DNA sequencing","Attention to detail"],"x-skills-preferred":["Experience handling and preparing blood and tissue samples","Proficiency with automated liquid handling platforms and software","Experience setting up Illumina sequencers","Experience maintaining laboratory equipment","Experience writing or updating documentation such as work instructions and SOPs"],"datePosted":"2026-04-17T12:35:16.791Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor's Degree, Communication skills, Documentation skills, Molecular biology techniques, DNA sequencing, Attention to detail, Experience handling and preparing blood and tissue samples, Proficiency with automated liquid handling platforms and software, Experience setting up Illumina sequencers, Experience maintaining laboratory equipment, Experience writing or updating documentation such as work instructions and SOPs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c77545f4-627"},"title":"Staff Machine Learning Scientist","description":"<p>We are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment.</p>\n<p>They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organisation dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote.</p>\n<p>Responsibilities:</p>\n<ul>\n<li>Independently pursue cutting-edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.)</li>\n<li>Build new models or fine-tune existing models to identify biological changes resulting from disease</li>\n<li>Build models that achieve high accuracy and that generalise robustly to new data</li>\n<li>Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms</li>\n<li>Work closely with ML Engineering partners to ensure that Freenome&#39;s computational infrastructure supports optimal model training and iteration</li>\n<li>Take a mindful, transparent, and humane approach to your work</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics</li>\n<li>6+ years of post-doc or post-PhD industry experience achieving impactful results using relevant modelling techniques</li>\n<li>Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modelling</li>\n<li>Practical and theoretical understanding of fundamental ML models like generalised linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation</li>\n<li>Practical and theoretical understanding of DL models like large language models or other foundation models</li>\n<li>Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning</li>\n<li>Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data</li>\n<li>Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc.</li>\n<li>Proficiency in one or more ML frameworks such as; PyTorch, TensorFlow and JAX; and ML platforms like Hugging Face</li>\n<li>Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights &amp; Biases</li>\n<li>Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations</li>\n<li>Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists</li>\n<li>A passion for innovation and demonstrated initiative in tackling new areas of research</li>\n</ul>\n<p>Nice to have:</p>\n<ul>\n<li>Deep domain-specific experience in computational biology, genomics, proteomics or a related field</li>\n<li>Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models</li>\n<li>Experience in NGS data analysis and bioinformatic pipelines</li>\n<li>Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS</li>\n<li>Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems</li>\n</ul>\n<p>Benefits and additional information:</p>\n<ul>\n<li>The US target range of our base salary for new hires is $199,675.00 - $283,500.00. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company&#39;s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.</li>\n<li>Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.</li>\n<li>Applicants have rights under Federal Employment Laws.</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c77545f4-627","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com/","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8215797002","x-work-arrangement":"hybrid","x-experience-level":"staff","x-job-type":"full-time","x-salary-range":"$199,675.00 - $283,500.00","x-skills-required":["Artificial Intelligence","Machine Learning","Deep Learning","Computational Biology","Genomics","Immunology","Python","R","Java","C","C++","PyTorch","TensorFlow","JAX","Hugging Face","TensorBoard","MLflow","Weights & Biases"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:35:13.294Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Healthcare","skills":"Artificial Intelligence, Machine Learning, Deep Learning, Computational Biology, Genomics, Immunology, Python, R, Java, C, C++, PyTorch, TensorFlow, JAX, Hugging Face, TensorBoard, MLflow, Weights & Biases","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":199675,"maxValue":283500,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_108f40a9-cba"},"title":"Laboratory Technician II","description":"<p>We are seeking a motivated Lab Technician to help grow the Freenome Scientific Operations team. The ideal candidate is eager to learn and able to work with urgency in an ever-changing environment. This person is responsible for all things related to R&amp;D support - reagents, equipment, consumables, study support. You will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer.</p>\n<p>The role reports to the Supervisor, R&amp;D Labs. This role will be an Onsite role.</p>\n<p>Responsibilities:\nCollaborate with the Research, Development, Automation, Facilities and Supply Chain teams to ensure consistent laboratory support.\nAssist Research Associates and Scientists in preparing and aliquoting reagents.\nPerform routine maintenance on a variety of laboratory equipment.\nAssist with troubleshooting R&amp;D lab equipment issues using established SOPs and WI’s.\nOperate automated liquid handling platforms to execute automated procedures.\nAssist with monitoring cold storage temperatures and respond to temperature excursion events.\nAssist with organizing and maintaining R&amp;D reagent and sample inventory documentation.\nAct as a role model by demonstrating adherence to all proper safety protocols.\nPerform Accessioning and processing of patient samples.\nSupport Biosample Management by picking and pulling samples.\nContribute to Study Execution by performing Genomics workflows.</p>\n<p>Requirements:\nBachelor&#39;s Degree with 1-2 years of related experience.\nStrong communication skills and the ability to collaborate across disciplines.\nExperience in writing or updating documentation such as WI’s, SOPs and maintaining a detailed Lab notebook.\nAbility to follow SOPs and troubleshoot effectively.\nStrong understanding of current molecular biology techniques and DNA sequencing.\nAttention to detail and documentation practices within a repetitive work function.</p>\n<p>Nice to Have:\nValuable supplementary skills include:\nExperience handling and preparing blood and tissue samples.\nProficiency with automated liquid handling platforms and software.\nExperience setting up Illumina sequencers.\nExperience maintaining laboratory equipment.\nExperience writing or updating documentation such as work instructions and SOPs.\nExperience working in BSL-2 laboratories and familiarity with 5S organizational practices.</p>\n<p>Benefits and Additional Information:\nThe US target range of our hourly rate for new hires is $30.60 - $39.12. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_108f40a9-cba","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Freenome","sameAs":"https://freenome.com","logo":"https://logos.yubhub.co/freenome.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/freenome/jobs/8502628002","x-work-arrangement":"onsite","x-experience-level":"entry","x-job-type":"full-time","x-salary-range":"$30.60 - $39.12 per hour","x-skills-required":["Bachelor's Degree","Communication skills","Documentation skills","Molecular biology techniques","DNA sequencing","Attention to detail"],"x-skills-preferred":["Experience handling and preparing blood and tissue samples","Proficiency with automated liquid handling platforms and software","Experience setting up Illumina sequencers","Experience maintaining laboratory equipment","Experience writing or updating documentation such as work instructions and SOPs"],"datePosted":"2026-04-17T12:35:08.265Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brisbane, California"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Bachelor's Degree, Communication skills, Documentation skills, Molecular biology techniques, DNA sequencing, Attention to detail, Experience handling and preparing blood and tissue samples, Proficiency with automated liquid handling platforms and software, Experience setting up Illumina sequencers, Experience maintaining laboratory equipment, Experience writing or updating documentation such as work instructions and SOPs"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_3bf102f8-b63"},"title":"Associate Director/Principal, Machine Learning Scientist","description":"<p>We are seeking a creative and accomplished Associate Director or Principal Machine Learning Scientist to advance the state of the art in ML-driven therapeutic antibody design.</p>\n<p>Our full-stack antibody drug development platform uses machine learning to drive every stage from discovery to optimization. Our roboticized high-throughput wet-lab continually adds to our large proprietary datasets, which are piped through a custom LIMS++ data management and orchestration layer to automatically update and deploy the latest models.</p>\n<p>As a successful candidate, you will apply your world-class machine learning skillset to refine and expand this state-of-the-art protein engineering platform. Success will mean not only hands-on methods development, but helping shape the direction for future machine learning research, and actively participating in the application of our platform to the accelerated design of new therapeutics.</p>\n<p><strong>Key Responsibilities</strong></p>\n<ul>\n<li>Design and implement the next state-of-the-art generative models of antibody sequence and structure, and predictive models of antibody properties, trained on proprietary internal datasets of thousands to millions of antibodies.</li>\n<li>Provide leadership, technical guidance, and mentorship to other machine learning and data science FTEs and interns.</li>\n<li>Help set strategy for future machine learning research, driven by a strong high-level understanding of BigHat programs and operations as well as real-world drug development challenges.</li>\n<li>Develop, refine, and deploy de novo design methods for generating initial hits to challenging, therapeutically interesting targets.</li>\n<li>Develop multi-modality, multi-objective iterative protein sequence optimization approaches to lab-in-the-loop antibody design problems for validation and deployment in our high-throughput wet lab - at BigHat success is only declared upon synthesis of real antibodies with drug-like properties.</li>\n<li>Maintain an in-depth understanding of the current state-of-the-art in machine learning-driven protein engineering, both in the literature and at BigHat.</li>\n<li>Share your findings at top-tier conferences and publish in leading scientific journals to advance the field of protein engineering.</li>\n<li>Provide machine learning expertise and support for ongoing therapeutics programs, directly contributing to the development of new drugs.</li>\n<li>Collaborate with our engineering team to ensure maximal efficiency in the automated and agentic deployment of our latest models to our therapeutics programs.</li>\n<li>Work closely with an interdisciplinary team of drug developers, wet lab scientists, automation specialists, data scientists, etc. to identify inefficiencies or potential improvements in BigHat’s platform, and plan and prioritize machine learning methods development accordingly.</li>\n</ul>\n<p><strong>Skills, Knowledge &amp; Expertise</strong></p>\n<ul>\n<li>PhD in machine learning/computer science or in the hard sciences with 5+ years experience post-graduation in developing and applying novel machine learning methods, and a strong quantitative background.</li>\n<li>Publications in major machine learning conferences and/or leading journals, and an extensive demonstrable track record developing and applying novel machine learning in industry.</li>\n<li>Strong competency in Python, familiarity with PyTorch, and experience with modern software engineering best practices.</li>\n<li>Excellent communication skills, sufficient biomedical domain knowledge to interact effectively with diverse scientific teams.</li>\n<li>Enjoys a fast-paced environment and excels at executing across multiple projects.</li>\n<li>Familiarity with the current state-of-the-art in machine learning-driven protein engineering</li>\n<li>Nice-to-haves include experience with de novo design, NGS data, Bayesian optimization, familiarity with antibody biology and drug development, and experience training and deploying models on AWS.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<p>The salary estimated for this position is $254,000 - $290,000 + bonus + options + benefits. 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Actual compensation will be confirmed in writing at the time of the offer.</p>\n<p>What BigHat Offers:</p>\n<ul>\n<li>Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)</li>\n<li>Dental, and vision coverage through Guardian</li>\n<li>Additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more</li>\n<li>401(k) with company match</li>\n<li>DTO, two weeks of company-wide shutdown, and 12 company holidays</li>\n<li>Paid parental leave</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_3bf102f8-b63","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/f4448727-74af-40b7-8c4c-120b5b1a2e25","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"full time","x-salary-range":"$254,000 - $290,000 + bonus + options + benefits","x-skills-required":["PhD in machine learning/computer science or in the hard sciences","5+ years experience post-graduation in developing and applying novel machine learning methods","Strong competency in Python","Familiarity with PyTorch","Experience with modern software engineering best practices"],"x-skills-preferred":["De novo design","NGS data","Bayesian optimization","Familiarity with antibody biology and drug development","Experience training and deploying models on AWS"],"datePosted":"2026-04-17T12:25:23.475Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Biotechnology","skills":"PhD in machine learning/computer science or in the hard sciences, 5+ years experience post-graduation in developing and applying novel machine learning methods, Strong competency in Python, Familiarity with PyTorch, Experience with modern software engineering best practices, De novo design, NGS data, Bayesian optimization, Familiarity with antibody biology and drug development, Experience training and deploying models on AWS","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":254000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_28b60f7c-242"},"title":"Director/Senior Director, Antibody Discovery","description":"<p>We are seeking an exceptional and highly experienced individual for a position as Director/Senior Director of Antibody Discovery. This individual will lead our antibody discovery and display function, conceiving of and leading multi-year team and technology strategy as well as managing routine operational execution for identification and maturation of high-quality antibodies across antigen types for both BigHat and BigHat-partnered therapeutic research programs.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Lead BigHat&#39;s antibody discovery and display functions, setting the scientific, technical, and strategic direction</li>\n<li>Oversee the routine execution of display-based selection campaigns to enhance and diversify affinity, developability, and function across diverse antibody formats and antigen types in support of BigHat and BigHat-partnered therapeutic programs</li>\n<li>Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization</li>\n<li>Shape and expand BigHat&#39;s antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company&#39;s integrated experimental and computational platform</li>\n<li>Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics</li>\n<li>Work closely with leaders in Protein Sciences, Data Science/Machine Learning, Engineering, and Platform groups to ensure seamless progression from discovery through characterization and optimization</li>\n<li>Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives</li>\n<li>Foster a collaborative and high-performance culture within the discovery organization</li>\n</ul>\n<p>Benefits:\nThe salary estimated for this position is $230,000 - $270,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.</p>\n<p>We offer a range of health insurance plan options through Anthem and Kaiser, dental and vision coverage through Guardian, additional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more, 401(k) with company match, DTO, two weeks of company-wide shutdown, and 12 company holidays, paid parental leave.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_28b60f7c-242","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://www.bighatbio.com/","logo":"https://logos.yubhub.co/bighatbio.com.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/d50002c9-77b6-4e95-978c-f35af53fb3d7","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"permanent","x-salary-range":"$230,000 - $270,000 + bonus + options + benefits","x-skills-required":["Ph.D. in molecular biology, biochemistry, protein engineering, or related discipline","12+ years of experience in antibody discovery and engineering within academia, biotechnology, or pharmaceutical industries","8+ years of managerial experience leading scientific teams","Strong expertise with protein display systems such as yeast, phage, mammalian, or mRNA display","Demonstrated experience with antibody library design, construction, screening, and selection analysis","Deep understanding of antibody structure-function relationships and mechanisms of antigen recognition","Experience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates","Familiarity with computational or ML-enabled approaches to protein design and optimization","Experience advancing biologics from early discovery through lead optimization stages","Knowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats","Strong leadership skills with experience building and mentoring scientific teams","Strategic thinker capable of aligning discovery activities with broader company goals","Excellent communication and cross-functional collaboration skills","Self-motivated and comfortable working in a fast-paced startup environment"],"x-skills-preferred":[],"datePosted":"2026-04-17T12:24:54.099Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"occupationalCategory":"Lab Science","industry":"Biotechnology","skills":"Ph.D. in molecular biology, biochemistry, protein engineering, or related discipline, 12+ years of experience in antibody discovery and engineering within academia, biotechnology, or pharmaceutical industries, 8+ years of managerial experience leading scientific teams, Strong expertise with protein display systems such as yeast, phage, mammalian, or mRNA display, Demonstrated experience with antibody library design, construction, screening, and selection analysis, Deep understanding of antibody structure-function relationships and mechanisms of antigen recognition, Experience integrating antibody discovery workflows with downstream characterization and developability assessment, including functional screening and biophysical evaluation of antibody candidates, Familiarity with computational or ML-enabled approaches to protein design and optimization, Experience advancing biologics from early discovery through lead optimization stages, Knowledge of diverse antibody modalities including multispecific antibodies, antibody fragments, and other advanced formats, Strong leadership skills with experience building and mentoring scientific teams, Strategic thinker capable of aligning discovery activities with broader company goals, Excellent communication and cross-functional collaboration skills, Self-motivated and comfortable working in a fast-paced startup environment","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":270000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_445ba5c8-6f5"},"title":"Research Associate I/II, Production","description":"<p>We are seeking a self-motivated individual for a Research Associate I/II, Production, role to power our high-throughput, automated platform for antibody production and deep molecular characterization.</p>\n<p>Key Responsibilities:</p>\n<p>Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization.\nContribute to the scaling up of BigHat&#39;s platform and production-grade data generation.\nSupport BigHat&#39;s Platform Reagents &amp; Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts.\nExecute experiments to optimize the performance efficiency of BigHat&#39;s platform.\nKeep a detailed record of all experiments using BigHat&#39;s documentation tools, and clearly communicate results and challenges.\nCollaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing.\nCollaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems.\nOperate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.</p>\n<p>Skills, Knowledge &amp; Expertise:</p>\n<p>BS in Biology or Chemistry, with 1+ year(s) of industry experience\nExperience in process execution, laboratory method development, optimization, and troubleshooting.\nHands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems).\nExperience with molecular biology techniques and general lab practices.\nEfficient time management and ability to work on several projects simultaneously, in a dynamic start-up environment.\nStrong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team.\nExcellent record keeping abilities to document experimental work and analytical data.\nNice-to-haves include previous experience working with barcoding systems, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.).</p>\n<p>Benefits:\nThe salary estimated for this position is $75,000 - $105,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer.\nRange of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived)\nDental, and vision coverage through Guardian\nAdditional well-being benefits through Nayya, OneMedical, Wagmo, Rula, and more\n401(k) with company match\nDTO, two weeks of company-wide shutdown, and 12 company holidays\nPaid parental leave</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_445ba5c8-6f5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Bighatbiosciences","sameAs":"https://bighat.bio/","logo":"https://logos.yubhub.co/bighat.bio.png"},"x-apply-url":"https://bighatbiosciences.pinpointhq.com/en/postings/3c09a4fc-fafa-4483-a073-43a26b9d8568","x-work-arrangement":"On-site","x-experience-level":"entry","x-job-type":"full time","x-salary-range":"$75,000 - $105,000 + bonus + options + benefits","x-skills-required":["BS in Biology or Chemistry","automated liquid handlers","molecular biology techniques","general lab practices","efficient time management"],"x-skills-preferred":["barcoding systems","inventory tracking","Google Workspace tools (Docs, Sheets, Slides, etc.)"],"datePosted":"2026-04-17T12:23:04.239Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Mateo, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Research and Development","industry":"Biotechnology","skills":"BS in Biology or Chemistry, automated liquid handlers, molecular biology techniques, general lab practices, efficient time management, barcoding systems, inventory tracking, Google Workspace tools (Docs, Sheets, Slides, etc.)","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":75000,"maxValue":105000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2637c30-aba"},"title":"Manufacturing Lab Supervisor","description":"<p><strong>Why Work at Valvoline Global Operations?</strong></p>\n<p>At Valvoline Global Operations, we&#39;re proud to be a pioneer in the automotive and industrial solutions industry. Founded in 1866, we introduced the world&#39;s first branded motor oil and have since become a global leader in our field.</p>\n<p><strong>Job Summary</strong></p>\n<p>The Manufacturing Lab Supervisor will support the day-to-day blending operation by maintaining the schedule, supervising the blending team, performing quality tests, and managing the ISO 9001 program.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Perform quality testing on inbound and outbound products and blends.</li>\n<li>Supervise blending personnel and lead project management for blending/bulk distribution.</li>\n<li>Quality Management Systems coordinator including ISO 9001 program.</li>\n<li>Maintain production schedule and purchase raw materials (bulk production and lab).</li>\n<li>Troubleshoot and repair equipment as well as maintain equipment maintenance intervals.</li>\n<li>Act as bulk inventory control coordinator.</li>\n<li>Other duties and responsibilities as determined by Valvoline from time to time in its sole discretion.</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Minimum B.S. in Chemistry, Biology or Engineering but will consider Business.</li>\n<li>2 years in a fast-paced manufacturing environment is preferred.</li>\n<li>Previous experience production scheduling and lean six sigma, a plus.</li>\n<li>Strong communication/presentation skills.</li>\n<li>Computer Skills - specifically Excel, Power Point, SAP and quality management software.</li>\n<li>Ability to periodically lift up to 50lbs during shift.</li>\n</ul>\n<p><strong>Benefits</strong></p>\n<ul>\n<li>Health insurance plans (medical, dental, vision)</li>\n<li>Health Savings Account (with employer base deposit and match)</li>\n<li>Flexible spending accounts</li>\n<li>Competitive 401(k) with generous employer base deposit and match</li>\n<li>Incentive opportunity</li>\n<li>Life insurance</li>\n<li>Short and long-term disability insurance</li>\n<li>Paid vacation and holidays</li>\n<li>Employee Assistance Program</li>\n<li>Employee discounts</li>\n<li>PTO Buy/Sell Options</li>\n<li>Tuition reimbursement</li>\n<li>Adoption assistance</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b2637c30-aba","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Valvoline Global Operations","sameAs":"https://jobs.valvolineglobal.com","logo":"https://logos.yubhub.co/jobs.valvolineglobal.com.png"},"x-apply-url":"https://jobs.valvolineglobal.com/job/Willow-Springs-Manufacturing-Lab-Supervisor-IL-60480/1368004400/","x-work-arrangement":"onsite","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":"$80,000-$85,000/year","x-skills-required":["quality testing","supervision","project management","ISO 9001","production scheduling","lean six sigma","communication","presentation","Excel","Power Point","SAP","quality management software"],"x-skills-preferred":["chemistry","biology","engineering","business"],"datePosted":"2026-03-09T11:06:16.549Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Willow Springs"}},"employmentType":"FULL_TIME","occupationalCategory":"Manufacturing","industry":"Automotive","skills":"quality testing, supervision, project management, ISO 9001, production scheduling, lean six sigma, communication, presentation, Excel, Power Point, SAP, quality management software, chemistry, biology, engineering, business","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":80000,"maxValue":85000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_0ef383eb-d73"},"title":"Abuse Investigator (CBRN)","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn.</p>\n<p>The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products.</p>\n<p><strong>About the Role</strong></p>\n<p>As an Abuse Investigator on the Intelligence and Investigations team, you will be responsible for detecting misuse of our platform or services. Specifically, you will focus on cases where users attempt to use our platform in connection with prohibited activities such as developing or delivering biological and/or chemical threats to harm people, critical resources/infrastructure, or the environment. OpenAI has strict prohibitions and policies in this area, and you will detect, disrupt, and enforce on actors who violate our policies.</p>\n<p>This role requires domain-specific expertise, experience investigating sophisticated threats, and the ability to navigate ambiguous signals in a complex and adversarial threat environment.</p>\n<p>You will respond to time-sensitive escalations and will be expected to present your investigative work, both in writing and verbally, to key stakeholders across government, industry, and civil society, when required. You will also help inform the company’s evolving threat response and integrity monitoring and mitigation stack, while working closely on individual cases and enforcement assessments.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Detect, investigate, and disrupt the attempted misuse of OpenAI products for the development or dissemination of biological threats, including dual-use misuse and emerging biothreat vectors. You will also be expected to work across related domains (e.g., chemical threats).</li>\n</ul>\n<ul>\n<li>Partner closely with teams across Policy, Legal, Integrity, Global Affairs, and Security to conduct robust investigations, including cross-internet and open-source research to trace and understand abuse and ensure OpenAI’s mitigations address evolving needs in the space.</li>\n</ul>\n<ul>\n<li>Develop abuse signals and tracking strategies to proactively detect users attempting dual-use or biohazard-related misuse of our platform and review content for enforcement decisions.</li>\n</ul>\n<ul>\n<li>Communicate findings from your investigations with internal stakeholders and leadership and, at times, external partners including regulatory or scientific organizations.</li>\n</ul>\n<ul>\n<li>Develop a categorical understanding of our product surfaces in the biosecurity space, and work with teams to improve data visibility and internal tooling.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have industry-leading experience in biosecurity, biological weapons non-proliferation, dual-use research of concern (DURC), or related biodefense fields,</li>\n</ul>\n<ul>\n<li>Have strong familiarity with technical investigations, especially using SQL and Python, in a government/military and/or tech company</li>\n</ul>\n<ul>\n<li>Have demonstrated experience in risk-mitigation (e.g., adversarial thinking and record of success in threat mitigation)</li>\n</ul>\n<ul>\n<li>Have worked on investigations related to biological threat actors, malicious dual-use exploitation, or responsible innovation in synthetic biology or bioengineering</li>\n</ul>\n<ul>\n<li>Have at least 5+ years of experience tracking misuse and/or abuse in biosecurity or life sciences domains, or equivalent education in these domains</li>\n</ul>\n<ul>\n<li>Have at least 2 years of experience developing innovative detection solutions and conducting open-ended research to solve real-world problems</li>\n</ul>\n<ul>\n<li>Experience in presenting analytical work in public or policy settings</li>\n</ul>\n<ul>\n<li>Have experience scaling and automating processes, especially with language models</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protec</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_0ef383eb-d73","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/5d618f84-fcce-496c-bfe9-995bd9ff9065","x-work-arrangement":"Remote","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$230.4K – $425K","x-skills-required":["biosecurity","biological weapons non-proliferation","dual-use research of concern (DURC)","biodefense","SQL","Python","risk-mitigation","adversarial thinking","threat mitigation","biological threat actors","malicious dual-use exploitation","responsible innovation in synthetic biology or bioengineering","misuse and/or abuse in biosecurity or life sciences domains","innovative detection solutions","open-ended research","analytical work in public or policy settings","scaling and automating processes","language models"],"x-skills-preferred":[],"datePosted":"2026-03-08T22:14:53.880Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US; San Francisco; Washington, DC"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"biosecurity, biological weapons non-proliferation, dual-use research of concern (DURC), biodefense, SQL, Python, risk-mitigation, adversarial thinking, threat mitigation, biological threat actors, malicious dual-use exploitation, responsible innovation in synthetic biology or bioengineering, misuse and/or abuse in biosecurity or life sciences domains, innovative detection solutions, open-ended research, analytical work in public or policy settings, scaling and automating processes, language models","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230400,"maxValue":425000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6615d38f-dff"},"title":"Biological Safety Research Scientist","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for biological scientists to help build safety and oversight mechanisms for our AI systems. As a Safeguards Biological Safety Research Scientist, you will apply your technical skills to design and develop our safety systems which detect harmful behaviours and to prevent misuse by sophisticated threat actors. You will be at the forefront of defining what responsible AI safety looks like in the biological domain, working across research, policy, and engineering to translate complex biosecurity concepts into concrete technical safeguards. This is a unique opportunity to shape how frontier AI models handle dual-use biological knowledge—balancing the tremendous potential of AI to accelerate legitimate life sciences research while preventing misuse by sophisticated threat actors.</p>\n<p>In this role, you will:</p>\n<ul>\n<li>Design and execute capability evaluations (&#39;evals&#39;) to assess the capabilities of new models</li>\n<li>Collaborate closely with internal and external threat modeling experts to develop training data for our safety systems, and with ML engineers to train these safety systems, optimising for both robustness against adversarial attacks and low false-positive rates for legitimate researchers</li>\n<li>Analyse safety system performance in traffic, identifying gaps and proposing improvements</li>\n<li>Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces</li>\n<li>Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle</li>\n<li>Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety</li>\n<li>Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these</li>\n</ul>\n<p><strong>You may be a good fit if you have</strong></p>\n<ul>\n<li>A PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, or a related life sciences field, OR equivalent professional experience</li>\n<li>Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)</li>\n<li>Deep expertise in modern biology, including both &#39;reading&#39; (e.g. high-throughput measurement, functional assays) and &#39;writing&#39; (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology</li>\n<li>Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)</li>\n<li>Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders</li>\n<li>Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies</li>\n<li>Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve</li>\n</ul>\n<p><strong>Preferred Qualifications</strong></p>\n<ul>\n<li>Background in AI/ML systems, particularly experience with large language models</li>\n<li>Experience in developing ML for biological systems</li>\n<li>Extensive experience in complex projects with multiple stakeholders</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</p>\n<p><strong>Your safety matters to us.</strong> To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you&#39;re ever unsure about a communication, don&#39;t click any links—visit anthropic.com/careers directly for confirmed position openings.</p>\n<p><strong>How we&#39;re different</strong></p>\n<p>We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_6615d38f-dff","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5066977008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $320,000 USD","x-skills-required":["PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology","Extensive experience in scientific computing and data analysis","Proficiency in programming (Python preferred)","Deep expertise in modern biology","Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks"],"x-skills-preferred":["Background in AI/ML systems","Experience in developing ML for biological systems","Extensive experience in complex projects with multiple stakeholders"],"datePosted":"2026-03-08T13:59:27.453Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PhD in molecular biology, virology, microbiology, biochemistry, systems or computational biology, Extensive experience in scientific computing and data analysis, Proficiency in programming (Python preferred), Deep expertise in modern biology, Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks, Background in AI/ML systems, Experience in developing ML for biological systems, Extensive experience in complex projects with multiple stakeholders","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":320000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c8d7ea06-b25"},"title":"Technical CBRN-E Threat Investigator","description":"<p><strong>About the Role</strong></p>\n<p>We are looking for a Technical CBRN-E Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic&#39;s AI systems for Chemical, Biological, Radiological, Nuclear, and Explosives (CBRN-E) threats.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Detect and investigate attempts to misuse Anthropic&#39;s AI systems for developing, enhancing, or disseminating CBRN-E weapons, pathogens, toxins, or other threats to harm people, critical infrastructure, or the environment</li>\n</ul>\n<ul>\n<li>Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover sophisticated CBRN-E threat actors</li>\n</ul>\n<ul>\n<li>Develop CBRN-E-specific detection capabilities, including abuse signals, tracking strategies, and detection methodologies tailored to dual-use research concerns</li>\n</ul>\n<ul>\n<li>Create actionable intelligence reports on CBRN-E attack vectors, vulnerabilities, and threat actor TTPs leveraging AI systems</li>\n</ul>\n<ul>\n<li>Conduct cross-platform threat analysis grounded in real threat actor behavior, open-source research, and publicly reported programs</li>\n</ul>\n<ul>\n<li>Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions</li>\n</ul>\n<ul>\n<li>Engage with external stakeholders including government agencies, regulatory bodies, scientific organizations, and biosecurity/chemical security research communities</li>\n</ul>\n<ul>\n<li>Inform safety-by-design strategies by forecasting how threat actors may leverage advances in AI technology for CBRN-E purposes</li>\n</ul>\n<p><strong>You may be a good fit if you</strong></p>\n<ul>\n<li>Have deep domain expertise in biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, or related CBRN-E threat domains</li>\n</ul>\n<ul>\n<li>Have demonstrated proficiency in SQL and Python for data analysis and threat detection</li>\n</ul>\n<ul>\n<li>Have experience with threat actor profiling and utilizing threat intelligence frameworks</li>\n</ul>\n<ul>\n<li>Have hands-on experience with large language models and understanding of how AI technology could be misused for CBRN-E threats</li>\n</ul>\n<ul>\n<li>Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners</li>\n</ul>\n<p><strong>Strong candidates may also have</strong></p>\n<ul>\n<li>Advanced degree (MS or PhD) in biological sciences, chemistry, biodefense, biosecurity, or related field</li>\n</ul>\n<ul>\n<li>Real-world experience countering weapons of mass destruction or other high-risk asymmetric threats</li>\n</ul>\n<ul>\n<li>Experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information</li>\n</ul>\n<ul>\n<li>Background in AI safety, machine learning security, or technology abuse investigation</li>\n</ul>\n<ul>\n<li>Familiarity with synthetic biology, biotechnology, or dual-use research</li>\n</ul>\n<ul>\n<li>Experience building and scaling threat detection systems or abuse monitoring programs</li>\n</ul>\n<ul>\n<li>Active Top Secret security clearance</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<ul>\n<li>Education requirements: We require at least a Bachelor&#39;s degree in a related field or equivalent experience.</li>\n</ul>\n<ul>\n<li>Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</li>\n</ul>\n<ul>\n<li>Visa sponsorship: We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</li>\n</ul>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work.</strong></p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c8d7ea06-b25","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5066997008","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$230,000 - $290,000USD","x-skills-required":["SQL","Python","CBRN-E threat domains","biosecurity","chemical defense","biological weapons non-proliferation","dual-use research of concern (DURC)","synthetic biology","threat actor profiling","threat intelligence frameworks","large language models","AI technology","stakeholder management"],"x-skills-preferred":["advanced degree in biological sciences, chemistry, biodefense, biosecurity, or related field","real-world experience countering weapons of mass destruction or other high-risk asymmetric threats","experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information","background in AI safety, machine learning security, or technology abuse investigation","familiarity with synthetic biology, biotechnology, or dual-use research","experience building and scaling threat detection systems or abuse monitoring programs","active Top Secret security clearance"],"datePosted":"2026-03-08T13:49:06.543Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA, Washington, DC"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"SQL, Python, CBRN-E threat domains, biosecurity, chemical defense, biological weapons non-proliferation, dual-use research of concern (DURC), synthetic biology, threat actor profiling, threat intelligence frameworks, large language models, AI technology, stakeholder management, advanced degree in biological sciences, chemistry, biodefense, biosecurity, or related field, real-world experience countering weapons of mass destruction or other high-risk asymmetric threats, experience working with government agencies or in regulated environments dealing with sensitive CBRN-E information, background in AI safety, machine learning security, or technology abuse investigation, familiarity with synthetic biology, biotechnology, or dual-use research, experience building and scaling threat detection systems or abuse monitoring programs, active Top Secret security clearance","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":290000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_c1277210-c05"},"title":"Model Policy Manager, Chemical & Biological Risk","description":"<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Safety Systems</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>Estimated Base Salary $207K – $295K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong>About the Team</strong></p>\n<p>The Safety Systems team is at the forefront of OpenAI&#39;s mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency.</p>\n<p>The Model Policy team aligns model behavior with desired human values and norms. We co-design policy _with_ models and _for_ models by driving rapid policy taxonomy iteration based on data and defining evaluation criteria for foundational models’ ability to reason about safety. Key focus areas include: catastrophic risk, mental health, teen safety and multimodal safety.</p>\n<p><strong>About the Role</strong></p>\n<p>Providing access to frontier AI systems raises complex questions around dual-use science and catastrophic risk. How should models respond to requests involving chemical synthesis, biological experimentation, or pathogen research? Where is the boundary between legitimate scientific inquiry and information that could enable misuse? How do we design policies that meaningfully reduce risk without unnecessarily restricting beneficial research?</p>\n<p>This is a senior role in which you’ll help shape policy creation and development at OpenAI for addressing biological and chemical risks. You will develop structured policy frameworks and taxonomies to guide safe model behavior. This role sits at the intersection of biosecurity expertise, AI safety research, and policy design. You will help ensure that frontier AI systems can support beneficial life sciences research, such as drug discovery, public health, and biosafety, while reducing the risk that these capabilities could be misused.</p>\n<p>This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.</p>\n<p>In this role, you’ll:</p>\n<ul>\n<li>Design and maintain model policies governing chemical and biological risk, defining how models should safely handle dual-use scenarios.</li>\n<li>Develop structured taxonomies of chemical and biological risk that inform model training data, evaluation benchmarks, and safety monitoring systems.</li>\n<li>Translate biosecurity and chemical security expertise into actionable model behavior, working closely with research and engineering teams to operationalize policy in training and evaluation pipelines.</li>\n<li>Develop a broad range of subject matter expertise while maintaining agility across topics.</li>\n<li>Identify emerging risk vectors where frontier AI capabilities could meaningfully lower barriers to harmful activity and develop mitigation strategies.</li>\n<li>Engage with internal and external subject-matter experts in biosecurity, biodefense, and chemical safety to ensure policies reflect real-world risk landscapes.</li>\n</ul>\n<p>You might thrive in this role if you:</p>\n<ul>\n<li>Have strong domain expertise in chemistry, biology, biosecurity, or related fields and are motivated to translate that expertise into principled, operational policies that scale to frontier AI systems.</li>\n<li>Have experience researching or working with LLMs, machine learning, AI governance, technology policy, or related areas, and enjoy tackling structured reasoning and classification problems—such as defining boundaries between legitimate scientific inquiry and potentially harmful applications.</li>\n<li>Have experience designing, refining, or enforcing policies or safeguards for complex systems, whether in AI/ML environments, scientific research governance, national security contexts, or other high-stakes technical domains.</li>\n<li>Are comfortable navigating ambiguous, high-stakes problem spaces, balancing risk reduction with the benefits of scientific openness and innovation.</li>\n<li>Enjoy building new frameworks from first principles, reasoning about open-ended problems, and generating novel approaches under uncertainty. You take ownership of problems end-to-end—from defining the conceptual framework through collaborating with research and engineering teams</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_c1277210-c05","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/6df6a3d8-c72b-4e65-acf8-a5d91559533c","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$207K – $295K","x-skills-required":["chemistry","biology","biosecurity","AI safety research","policy design","machine learning","LLMs","AI governance","technology policy"],"x-skills-preferred":["structured reasoning","classification problems","policy creation","development","biosecurity expertise","chemical security expertise"],"datePosted":"2026-03-06T18:42:18.171Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"chemistry, biology, biosecurity, AI safety research, policy design, machine learning, LLMs, AI governance, technology policy, structured reasoning, classification problems, policy creation, development, biosecurity expertise, chemical security expertise","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":207000,"maxValue":295000,"unitText":"YEAR"}}}]}