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We are the critical link that brings innovation from our science labs to patients around the world.</p>\n<p>We&#39;re achieving all of this while continuing to accelerate our operational excellence through innovative science, Lean ways of working, and evolving digital technologies.</p>\n<p>Using cell therapy to halt and reverse disease, restore damaged organs, and, ultimately, cure many life-threatening conditions is now a realistic goal for our scientists and operators.</p>\n<p>About Rockville Manufacturing Centre (RMC):</p>\n<p>Our role in Operations is to bring these promising therapies from the lab to life through a thorough process of development, manufacturing, testing and supply.</p>\n<p>Our fast-paced, growing environment provides a wealth of opportunity and global opportunities to learn from other teams, embrace lifelong learning and build capabilities, setting your own direction and pace for your long-term career.</p>\n<p>Introduction to role:</p>\n<p>Are you ready to develop an attitude of excellence? 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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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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. You will also interface closely with our AI team to maximize the impact of internal data on Inceptive’s foundation models.</p>\n<p>Your Mission, should you choose to accept it - Lead development and scale-up of high-throughput assays across in vitro, cellular, and in vivo systems, leveraging multiplexed assays and laboratory automation - Define and execute a lab strategy aligned with Inceptive’s therapeutic and platform priorities, while remaining flexible as modality and partnership needs evolve - Champion an interdisciplinary culture, encouraging curiosity, rigor, and collaboration across scientific boundaries - Manage, mentor, and develop a multidisciplinary team of scientists and engineers that rapidly generates high-impact biological data to improve and validate AI design models - Oversee the development of industry-standard validation assays to keep models and data generation aligned with downstream therapeutic application</p>\n<p>Qualifications - PhD and 6+ years of post-PhD experience in industrial research applied to drug development - Experience managing and mentoring a data-driven lab of 10+ scientists - Experience using high-throughput and/or highly multiplexed assays to generate rich datasets from mammalian cells - Proven ability to set scientific direction while also executing operationally - Deep understanding of theory, techniques, and experimental design in molecular and cellular biology - Visualization, analysis, and statistics applied to complex biological datasets - Availability to work with team members across US and Europe, with meetings starting at 7am PT - Readiness to travel several times a year for company retreats and business events - We value in-person collaboration and expect candidates to work at our lab location</p>\n<p>Preferred skills - 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</p>\n<p>Compensation $245K – $305K + Bonus + Equity</p>\n<p>What we offer - A competitive compensation package - 30 days paid vacation per year - Comprehensive health insurance for US based Beginners - 401K with company match for US based Beginners and Direktversicherung for German Beginners - Quarterly company-wide retreats - Monthly wellness benefit - Budget for multiple visits per year to our offices in Berlin, Palo Alto or Switzerland - 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 - 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_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. 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QC</p>\n<p><strong>About the Position</strong></p>\n<p>We are seeking a highly motivated, self-driven and detail-oriented Associate Director of Analytical Development and Quality Control to join our CMC team.</p>\n<p>This role will provide broad exposure across Formation Bio&#39;s portfolio, requiring the ability to flex between small molecule and biologics programs at different phases of development in an outsourced development model, requiring strong technical skillset, vendor management, and the ability to balance scientific rigor with program timelines.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>In close collaboration with CDMOs and contract testing laboratories, lead development, optimisation and validation of phase-appropriate analytical methods for small molecule and biologics drug substances and drug products.</li>\n<li>Manage testing (in-process, release, stability) at CDMOs and contract testing laboratories.</li>\n<li>Provide technical oversight for method transfers, comparability assessments, and laboratory readiness.</li>\n<li>Lead selection, qualification, and ongoing performance management of external analytical vendors.</li>\n<li>Oversee and manage Formation Bio&#39;s stability studies across all programs, including review and approval of stability protocols and review and trending of stability data to support shelf-life and retest dating. 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_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_d1c3717f-844"},"title":"Biological Safety Research Scientist","description":"<p>We are seeking a Biological Safety Research Scientist to join our Safeguards team. 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_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_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_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"}}}]}