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As a key member of our Biotechnology R&amp;D department, you will enable data-driven decisions on target selection, experimental design, and editing outcome interpretation by developing reproducible analyses, predictive models, and clear visualizations. You will partner closely with molecular and structural biology colleagues to translate biological questions into computational strategies and to connect prediction with experimental validation.</p>\n<p>Your primary responsibilities will include:</p>\n<ul>\n<li>Building and maintaining reproducible pipelines and integrated datasets to evaluate and optimize editing tool performance across germplasm and testing systems;</li>\n<li>Developing and applying statistical and machine learning models and metrics to quantify drivers of editing efficiency and precision and to compare tool variants across genomic contexts;</li>\n<li>Developing computational approaches to improve the design of precise editing components, including guide and target selection and constraint-aware design;</li>\n<li>Analyzing large-scale sequencing datasets to characterize editing outcomes, fidelity, and error modes, and generating clear visualizations and decision-ready summaries;</li>\n<li>Partnering with molecular and structural biology teams to design experiments, define analysis plans, and translate multi-modal data into actionable recommendations for tool development;</li>\n<li>Collaborating closely with genomics, functional genomics, and digital/data science stakeholders to ensure that tools, pipelines, and analyses are scalable, robust, and aligned with broader platform needs.</li>\n</ul>\n<p>To succeed in this role, you will possess a PhD in bioinformatics, computational biology, genomics, or a related field, or a Master&#39;s degree with 3+ years of additional relevant experience. You will have strong programming skills in languages relevant to biological data analysis, such as Python and R, and experience analyzing genome editing NGS datasets. You will also have knowledge of statistical methods for analyzing editing precision and efficiency, and the ability to clearly communicate underlying assumptions and limitations.</p>\n<p>Preferred qualifications include experience applying GenAI and large language models to scientific workflows, background in protein structure prediction and analysis, and experience with chromatin accessibility and structure analysis.</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_a0c86a9f-ab0","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/562949976948256","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$94,480.00 - $141,720.00","x-skills-required":["Python","R","bioinformatics","computational biology","genomics","statistical methods","machine learning","functional genomics","digital/data science"],"x-skills-preferred":["GenAI","large language models","protein structure prediction","chromatin accessibility","structure analysis"],"datePosted":"2026-04-25T14:08:21.225Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chesterfield"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Manufacturing","skills":"Python, R, bioinformatics, computational biology, genomics, statistical methods, machine learning, functional genomics, digital/data science, GenAI, large language models, protein structure prediction, chromatin accessibility, structure analysis","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":94480,"maxValue":141720,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_6e11f4eb-171"},"title":"Bioinformatics Researcher II","description":"<p>We are looking for a highly motivated Bioinformatics Researcher II to join our team in Israel. As a Bioinformatics Researcher, you will design and execute analyses on Ultima sequencing data. You will work at the intersection of biology, computing, and AI, developing computational methods and scalable pipelines that turn raw data into clear biological insights.</p>\n<p>Your key responsibilities will include:</p>\n<ul>\n<li>Building and running pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment</li>\n<li>Working across teams: Collaborate with lab scientists, bioinformatic scientists, data scientists, and clinical partners to define requirements, provide analysis support, and influence the direction of our scientific platform</li>\n<li>Developing and adapting methods: Create new algorithms and apply state-of-the-art approaches to turn high-throughput data into biological insights</li>\n<li>Ensuring rigor: Use quantitative and computational methods to validate results and strengthen the impact of our findings</li>\n</ul>\n<p>To succeed in this role, you will need to have:</p>\n<ul>\n<li>An MS or PhD in Computational Biology, Bioinformatics, Computer Science, or a related discipline</li>\n<li>3+ years of relevant industry or academic experience in a hands-on bioinformatics role</li>\n<li>Demonstrated experience analyzing and interpreting large-scale Next Generation Sequencing (NGS) datasets such as WGS, WES, and RNA-seq</li>\n<li>Expert proficiency in Python for complex data analysis and proficiency in UNIX</li>\n<li>A strong foundation in statistics and quantitative analyses</li>\n<li>Proficiency with software development best practices including version control with Git, containerization with Docker, and unit testing</li>\n<li>Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis</li>\n<li>Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools such as WDL, Nextflow or Snakemake</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_6e11f4eb-171","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/5973935004","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Python","UNIX","Git","Docker","WDL","Nextflow","Snakemake","Bioinformatics","Computational Biology","Genomics"],"x-skills-preferred":[],"datePosted":"2026-04-24T17:02:14.203Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tel Aviv District, Israel"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, UNIX, Git, Docker, WDL, Nextflow, Snakemake, Bioinformatics, Computational Biology, Genomics"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5e2e042e-e39"},"title":"Sales Manager, Genomic Tools & Applications, Central","description":"<p>We are looking for a highly motivated Sales Manager, Genomic Tools &amp; 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preferred locations include Chicago (IL), St. Louis (MO), Columbus (OH), and Detroit (MI)</li>\n</ul>\n<ul>\n<li>Entrepreneurial, ownership-driven mindset</li>\n</ul>\n<ul>\n<li>Ability to thrive in ambiguity and maintain momentum through uncertainty, long sales cycles, shifting priorities, and technical complexity</li>\n</ul>\n<ul>\n<li>Complex enterprise seller with experience in multi-year, multi-stakeholder sales</li>\n</ul>\n<ul>\n<li>Ability to influence without authority and drive progress through credibility and trust</li>\n</ul>\n<ul>\n<li>Mission-driven and customer-centric approach</li>\n</ul>\n<p>At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $110,000 and $140,000, if performed in the US, and your actual base pay will depend on your skills, qualifications, experience, and location.</p>\n<p>This role is also eligible for a competitive benefits package that includes medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending &amp; health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.</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_5e2e042e-e39","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/5766289004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$110,000 - $140,000","x-skills-required":["genomics","next-generation sequencing","capital equipment","consumables","sales","account planning","customer discovery","proactive engagement","complex sales cycles","executive-level relationships","entrepreneurial mindset","ownership-driven","influence without authority","customer-centric approach"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:57:33.528Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Technology","skills":"genomics, next-generation sequencing, capital equipment, consumables, sales, account planning, customer discovery, proactive engagement, complex sales cycles, executive-level relationships, entrepreneurial mindset, ownership-driven, influence without authority, customer-centric approach","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":110000,"maxValue":140000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_234fe029-d21"},"title":"Associate Strategic Accounts Director, Pharma and Biotech","description":"<p>We are looking for a highly motivated Associate Strategic Accounts Director, Pharma and Biotech to join our team!</p>\n<p>You will be a key member of the Strategic Accounts team supporting the VP, Finance and Business Development in executing Ultima&#39;s strategy in enabling large-scale data generation and engaging with biotech and pharma accounts.</p>\n<p>Experience in the life science tools or pharma-services space with a consistent track record of commercial success is highly preferred.</p>\n<p>This role will report to the VP, Finance and Business Development.</p>\n<p>Responsibilities: Act as a commercial leader and front-line representative driving Ultima&#39;s adoption in the biotechnology and pharmaceutical sectors, with a focus on expanding Next Generation Sequencing (NGS) utilization and driving large data generation initiatives. Build and deepen C-suite and senior-level relationships at strategic biopharma, biotech and techbio accounts; identify customer needs, emerging opportunities, and growth areas to strengthen long-term partnerships. Develop, negotiate, and execute commercial agreements, including collaborations, licensing deals, and other strategic business models, that accelerate revenue growth and market penetration. Manage a pipeline of commercial opportunities across biotech and pharma, from early engagement through deal closure and execution, ensuring alignment with strategic priorities. Partner cross-functionally with R&amp;D, product, legal, regulatory, and marketing/sales teams to deliver tailored solutions and ensure operational excellence in business development initiatives. Represent Ultima at industry conferences, meetings, and events, establishing the company as a partner of choice for biopharma customers in genomics and drug development. Drive execution of account plans and tactical actions, ensuring quarterly and annual revenue targets are achieved.</p>\n<p>Qualifications: BS in life sciences, business, or related field required; advanced degree (MS, PhD, or MBA) is strongly preferred. 7+ years of experience in business development, sales, or corporate strategy within the life sciences tools or genomics sector, with a proven track record of closing commercial deals with biotech and pharma customers. Deep understanding of NGS technologies, applications, and workflows, particularly in oncology, biomarker discovery, translational research, and clinical trial support. Experience structuring and negotiating complex, stage-gated deals such as licensing, co-development and commercial collaborations. Strong network and established relationships within the biopharma ecosystem (R&amp;D, translational medicine, biomarker strategy, companion diagnostics). Demonstrated ability to build and maintain executive-level relationships and to drive new revenue streams through business development. Highly strategic thinker with strong execution skills; proven ability to manage a pipeline of opportunities and deliver results in a fast-paced environment. Excellent communication and presentation skills with comfort representing the company externally. Advanced proficiency in Excel and PowerPoint for financial modeling and business case development. Willingness to travel up to 50% and reside within 90 minutes of a major airport; preferred locations include San Francisco Bay Area or Boston.</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_234fe029-d21","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/5821432004","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$150,000 - $200,000","x-skills-required":["Business Development","Sales","Corporate Strategy","Genomics","Next Generation Sequencing (NGS)","Oncology","Biomarker Discovery","Translational Research","Clinical Trial Support","Licensing","Co-development","Commercial Collaborations"],"x-skills-preferred":["Excel","PowerPoint","Financial Modeling","Business Case Development"],"datePosted":"2026-04-18T15:54:08.892Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Sales","industry":"Healthcare","skills":"Business Development, Sales, Corporate Strategy, Genomics, Next Generation Sequencing (NGS), Oncology, Biomarker Discovery, Translational Research, Clinical Trial Support, Licensing, Co-development, Commercial Collaborations, Excel, PowerPoint, Financial Modeling, Business Case Development","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":150000,"maxValue":200000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_5fec3347-90b"},"title":"Sales Manager, Genomic Tools & Applications, NorCal/Pacific Northwest","description":"<p>We are looking for a highly motivated Sales Manager, Genomic Tools &amp; Applications, overseeing Northern California/Pacific Northwest territory in North America, to join our team!</p>\n<p>The Sales Manager, Genomic Tools &amp; Applications is a senior individual contributor responsible for driving both capital equipment placements and strategic consumables growth for Ultima&#39;s sequencing platform across research and applied genomics markets.</p>\n<p>This position reports directly to the VP of Sales, North America and partners cross-functionally in a matrixed organization.</p>\n<p>This role requires a proactive commercial leader who excels at originating new opportunities, shaping large, complex sequencing initiatives, and converting those efforts into both instrument placements and sustained consumables revenue.</p>\n<p>Success depends on the ability to identify unmet needs, engage new and existing customers in high-value discussions, and navigate complex sales processes in a startup environment where strategy and structure continue to evolve and expand.</p>\n<p>The Sales Manager, Genomic Tools &amp; Applications manages Northern California/Pacific Northwest territory in North America and owns territory performance end-to-end, manages complex, multi-stakeholder sales cycles independently, and helps shape Ultima&#39;s commercial success through influence, insight, and execution.</p>\n<p>Key Responsibilities:</p>\n<ul>\n<li>Identify and develop new customer opportunities, including greenfield accounts and expansion opportunities within existing customers</li>\n</ul>\n<ul>\n<li>Create and advance a high-quality sales funnel through strategic account planning, customer discovery, and proactive engagement</li>\n</ul>\n<ul>\n<li>Identify, structure, and close large, complex sequencing projects that drive meaningful, sustained consumables revenue , beyond routine utilization</li>\n</ul>\n<ul>\n<li>Drive new instrument placements by aligning platform capabilities to high-impact scientific, clinical, and operational needs</li>\n</ul>\n<ul>\n<li>Navigate long, multi-stakeholder sales cycles involving scientific leaders, operations, procurement, finance, and executive decision-makers</li>\n</ul>\n<ul>\n<li>Expand platform adoption by aligning applications to customer funding sources, study design, and downstream objectives</li>\n</ul>\n<ul>\n<li>Deliver quarterly and annual revenue consistent with assigned quota and operating targets</li>\n</ul>\n<ul>\n<li>Maintain disciplined forecasting and opportunity management using Salesforce.com (SFDC), with clear articulation of deal strategy, risks, and next steps</li>\n</ul>\n<ul>\n<li>Serve as a trusted field voice, providing customer, competitive, and market insight to inform product and GTM strategy</li>\n</ul>\n<ul>\n<li>Operate with urgency, ownership, and accountability in a fast-moving startup environment</li>\n</ul>\n<p>Qualifications:</p>\n<ul>\n<li>Educational Background: BS in Molecular Biology, Genetics or related discipline required; PhD preferred</li>\n</ul>\n<ul>\n<li>Experience: 8 + years of sales experience in genomics and/or next-generation sequencing</li>\n</ul>\n<ul>\n<li>Expertise:</li>\n</ul>\n<ul>\n<li>Demonstrated success selling capital equipment and large-scale consumables programs or projects</li>\n</ul>\n<ul>\n<li>Strong understanding of genomics markets and applications, including Whole Genome Sequencing (WGS), single cell, oncology, liquid biopsy, Minimal Residual Disease (MRD), and emerging workflows</li>\n</ul>\n<ul>\n<li>Proven ability to independently manage complex sales cycles and executive-level relationships</li>\n</ul>\n<ul>\n<li>Travel &amp; Location: Willingness to travel 50% of the time and must be located in the San Francisco Bay area</li>\n</ul>\n<ul>\n<li>Strategic Opportunity Creator: Proven ability to originate and advance high-value opportunities in early-adoption or emerging markets, engaging senior scientific, operational, and executive stakeholders</li>\n</ul>\n<ul>\n<li>Entrepreneurial, Ownership-Driven: Operates with a founder mindset,building territory strategy, account plans, and operating cadence from scratch; decisive and action-oriented, even with incomplete information</li>\n</ul>\n<ul>\n<li>Thrives in Ambiguity: Maintains momentum through uncertainty, long sales cycles, shifting priorities, and technical complexity</li>\n</ul>\n<ul>\n<li>Complex Enterprise Seller: Experienced in multi-year, multi-stakeholder sales; aligns scientific value, operational feasibility, and economic justification; negotiates sophisticated commercial and partnership structures</li>\n</ul>\n<ul>\n<li>Influence Without Authority: Drives progress through credibility and trust; collaborates effectively across applications, service, marketing, and operations while balancing customer urgency with startup constraints</li>\n</ul>\n<ul>\n<li>Mission-Driven &amp; Customer-Centric: Motivated by advancing genomics and human health; builds durable customer relationships grounded in scientific credibility and clear, compelling communication</li>\n</ul>\n<p>At Ultima Genomics, your base pay is one part of your total compensation package. 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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_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_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_325895d8-540"},"title":"Applied AI Engineer, Life Sciences (Beneficial Deployments)","description":"<p><strong>About the Role:</strong></p>\n<p>We&#39;re looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximising the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&amp;D through translation by an order of magnitude.</p>\n<p>You&#39;ll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn&#39;t consulting from the outside — you&#39;ll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude&#39;s usefulness across the broader life sciences community.</p>\n<p><strong>Responsibilities:</strong></p>\n<ul>\n<li>Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.</li>\n<li>Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.</li>\n<li>Identify what&#39;s actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.</li>\n<li>Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.</li>\n</ul>\n<p><strong>You Might Be a Good Fit If You Have:</strong></p>\n<ul>\n<li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.</li>\n<li>Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you&#39;ve studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.</li>\n<li>Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.</li>\n<li>Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.</li>\n<li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.</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<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<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 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_325895d8-540","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/5111942008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$280,000 - $320,000 USD","x-skills-required":["Software Engineer","Forward Deployed Engineer","Technical Founder","Life Sciences","Biomedical Research","Scientific Computing","Genomics","Neuroscience","Drug Discovery","LLM-powered tools","Prompting","Context Engineering","Agent Architectures","Evaluation Frameworks"],"x-skills-preferred":["Builder Credibility","Scrappy Mentality","Production Code","Shipping Systems","Real Users"],"datePosted":"2026-03-08T13:56:01.188Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software Engineer, Forward Deployed Engineer, Technical Founder, Life Sciences, Biomedical Research, Scientific Computing, Genomics, Neuroscience, Drug Discovery, LLM-powered tools, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Builder Credibility, Scrappy Mentality, Production Code, Shipping Systems, Real Users","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":280000,"maxValue":320000,"unitText":"YEAR"}}}]}