As a Senior Trait Definition Scientist, you will work with a diverse set of teams and data inputs to develop roadmaps that deliver meaningful impact of gene editing for crop improvement, leveraging some of the industry's most extensive and global agriculture and genetic datasets.

Your primary responsibilities will include:

• Developing and documenting recommendations for trait targets for gene editing that are guided by business impact and aligned with product and portfolio needs.
• Guiding connectivity between germplasm development targets and gene editing priorities to ensure that editing strategies translate into improved seeds and traits.
• Developing robust workflows that enable cross-team communication, decision making, and iterative prioritization to shape research direction and resource allocation.
• Identifying novel opportunities to utilize gene editing to impact the development of new seeds and traits products, leveraging emerging science and data-driven insights.
• Leading or assisting in the gathering, curation, quality control, and analysis of new data sources (e.g., functional genomics, phenomics) across Research and Development (R&D) teams.
• Actively building and expanding networks within the Crop Genome Editing team and across functions, serving as a consultant to leadership and partners in your area of expertise.
• Contributing to the Biology and Genome Design community by continuously developing your own capabilities and sharing best practices, tools, and learnings with colleagues.

To be successful in this role, you will need to possess a PhD in Biological Sciences, Plant Breeding, Plant Sciences, Genetics, Developmental Biology, or a related field, and at least 4 years of post-PhD experience working in gene editing, germplasm improvement, or closely related fields.

You will also need to have excellent communication skills with fluency in English, both written and verbal, and experience defining the collection, organization, analysis, and use of complex biological datasets and translating them into testable hypotheses.

Additional compensation may include a bonus or incentive compensation (if relevant).

This posting will be available for application until at least April 20, 2026.

XML job scraping automation by YubHub

You will coordinate and prioritize workload within a large team, provide on-the-job support to contingent staff, and communicate run performance, KPIs, and operational updates to stakeholders. You will work closely with hub specialists and scientists as well as supporting functional spaces within the Precision Genomics program.

To be successful in this role, you will possess a Bachelor's degree and knowledge of next-generation sequencing (NGS) technologies, platforms, and associated workflows. You will also have strong molecular biology foundation with the ability to troubleshoot workflows, interpret data, and apply sound scientific judgment. Additionally, you will have demonstrated good laboratory technique, including accurate pipetting, contamination control, and consistent execution of SOPs.

Preferred qualifications include a Master's degree in Biology, Chemistry, or a related field with 1+ year of relevant experience, or a Bachelor's degree with 4+ years of related experience in academia or industry. Experience operating NGS instruments (Illumina preferred) in research or production settings, high-throughput automation experience, and proficiency with digital lab systems such as LIMS, sample-tracking tools, and data analysis or visualization software are also desirable.

XML job scraping automation by YubHub

You will be expected to serve as Oncology biology lead for one or more pipeline programs, working collaboratively with cross-functional teams to ensure the timely generation and dissemination of critical program data to enable milestone progression decisions. You will help set program strategy, and will be responsible for the delivery of key pre-clinical data that support a strong biological rationale for program progression.

As a highly organized, self-motivated individual with a strong background in cancer biology, you will stay up to date with relevant technical and intellectual scientific expertise in tumor biology and cancer modelling, particularly as it relates to antibody drug conjugates, and have a genuine passion for this field of research.

Main duties and responsibilities:

• Serve as Oncology biology lead for one or more pipeline programs
• Work collaboratively with cross-functional teams to ensure timely generation and dissemination of critical program data
• Help set program strategy and deliver key pre-clinical data
• Manage and mentor a team of direct reports

Essential requirements:

• Ph.D. with 5-10 years of research experience or Master’s degree with 8+ years within the pharmaceutical industry
• Demonstrated ability to lead cross-functional project teams
• Demonstrated management and leadership skills and a passion for mentorship
• Strong knowledge of solid tumor cancers, in-vitro and in-vivo pre-clinical models of cancer, cell biology, molecular biology, and/or biochemistry in the context of cancer biology
• Excellent verbal and written communication, presentation, and interpersonal skills

Desirable requirements:

• Prior experience in the biopharmaceutical industry
• Prior experience with antibody-drug conjugates

XML job scraping automation by YubHub

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's most extensive and global agriculture and genetic datasets.

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.

Responsibilities

• Produce and document recommendations for alleles that deliver desired phenotypic impact, contributing to innovative gene editing strategies
• 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
• 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
• 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
• 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&D) teams
• 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
• Influence key stakeholders by clearly communicating data-driven insights, challenges, and opportunities to facilitate solutions to complex scientific and technical problems

Requirements

• PhD in Biological Sciences, Computational Biology, or a related field
• At least 3 years of post-PhD experience working in gene editing, functional genomics, or closely related fields
• Demonstrated ability to collect, analyze, and leverage complex biological datasets and translate them into testable hypotheses
• Experience with advanced computational and analytical tools in molecular biology, genetics, and biochemistry
• Distinct communication skills with fluency in English, both written and verbal

Preferred Qualifications

• 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
• Demonstrated experience working collaboratively in cross-functional and cross-cultural teams to achieve common goals
• Ability to influence key stakeholders by articulating challenges and opportunities to drive solutions to complex scientific and organizational challenges
• Results-oriented mindset with demonstrated ability to prioritize and advance multiple projects at the enterprise level

XML job scraping automation by YubHub

To accomplish this, you will be available to accommodate working with team members across different time zones, with one or two meetings per week starting at 8am PT or finishing at 7pm CET. You will also be ready to travel several times a year for company retreats and business events.

We value the benefits of in-person collaboration and prefer candidates who can easily and regularly connect at one of our office locations.

As a member of our team, you will receive a competitive compensation package, including $105K – $240K + Bonus + Equity. You will also enjoy 30 days paid vacation per year, comprehensive health insurance for US-based beginners, and a 401K with company match for US-based beginners and Direktversicherung for German beginners.

Additionally, you will participate in quarterly company-wide retreats, monthly wellness benefits, and budget for multiple visits per year to our offices in Berlin, Palo Alto, or Switzerland. You will also have access to the Learning & Development platform EdX and Hone, as well as a buddy to help you get settled.

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.

We approach our goals with a beginner's mind, humbly and with fresh eyes, and aim to become the pioneers of a new discipline rooted in biology as much as in deep learning, whose impact will be realized together with out-of-the-box thinkers in business and entrepreneurship, defying established categorizations.

We are building a company culture centered around growth, learning, and discovery. We believe in humility and open-mindedness in how we approach each other, as well as problems we don't yet have solutions for.

XML job scraping automation by YubHub

As an Inside Sales Representative, you will operate at the front end of the commercial organization,focused on generating, qualifying, and advancing early-stage opportunities while supporting consumables growth across the installed base and our Certified Service Provider (CSP) network.

Responsibilities:

• Drive prospecting strategy: In partnership with regional marketing and field sales, execute targeted outbound and inbound outreach to generate high-quality leads and early-stage opportunities
• Champion cross-functional alignment: Serve as the conduit between marketing campaigns and inbound demand, facilitating coordinated execution and clear communication across field sales
• Build and expand pipeline: Research and map accounts, identify key stakeholders, and grow a robust pipeline of qualified opportunities
• Qualify and advance deals: Assess customer needs, timelines, budgets, and decision processes to ensure strong pipeline progression. Partner with the field sales team to win projects and increase consumables utilization across the installed base
• Tight communication and alignment with field sales: Work closely with Field Sales to ensure seamless opportunity handoff and follow-up
• Customer execution and quoting support: Provide timely and accurate quoting and pricing support to Field Sales. Support coordination and preparation for customer site visits and partner closely with internal teams (Finance, Service, Applications) to accelerate deal progression
• Leverage sales tools: Use CRM and marketing automation systems to track activity, maintain pipeline health, and optimize outreach
• Deliver market insights: Provide real-time feedback on customer priorities, competitive dynamics, and market trends to inform strategy

Qualifications, Skills, Knowledge & Abilities:

• BS in Biology, Genetics, Molecular Biology, Biochemistry, or related life-science field. Advanced degree preferred
• 3+ years of experience in inside sales, sales development, pipeline generation, or customer-facing roles within life sciences or genomics
• Solid understanding of genetics, molecular biology, or Next-Generation Sequencing (NGS) workflows with related lab experience
• Demonstrated ability to meet or exceed pipeline-generation or activity targets
• Comfortable with CRM systems (Salesforce preferred) and prospecting tools
• Strong organizational and communication skills
• Must be a self-starter and able to work independently
• Willingness to travel up to 10% of the time as needed

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $70,000 and $82,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.

XML job scraping automation by YubHub

Associate Director, Analytical Development & QC

About the Position

We are seeking a highly motivated, self-driven and detail-oriented Associate Director of Analytical Development and Quality Control to join our CMC team.

This role will provide broad exposure across Formation Bio'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.

Responsibilities

• 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.
• Manage testing (in-process, release, stability) at CDMOs and contract testing laboratories.
• Provide technical oversight for method transfers, comparability assessments, and laboratory readiness.
• Lead selection, qualification, and ongoing performance management of external analytical vendors.
• Oversee and manage Formation Bio'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.
• Oversee and manage Formation Bio's critical reagents and reference standards inventory and testing.
• Lead investigations of release and stability OOS and OOT results, deviations, CAPAs and change controls.
• Author and review analytical sections of CMC documents, including protocols, reports, and regulatory submissions.
• Author and review of SOPs and work instructions.
• Closely collaborate with CMC, QA, and Regulatory teams.

About You

• Analytical Chemistry, Biochemistry, Molecular Biology, or a related discipline Master's degree with 5+ years or Bachelor's Degree with 8+ years of relevant small molecule and biologics analytical development and QC experience.
• Proven ability to operate effectively in a fast-paced, virtual, and outsourced development environment.
• Highly organised with a track record of managing multiple priorities across programs in an outsourced development model.
• Strong scientific judgement with the ability to independently assess data quality, identify risks, and recommend mitigation strategies.
• Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders.
• Collaborative mindset with a strong sense of ownership and accountability.
• Extensive hands-on experience developing, optimising, and validating analytical methods for release and stability testing of small molecules and biologics.
• 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.).
• 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.
• Experience with designing stability studies and performing stability data trending according to applicable guidances.
• Strong working knowledge of Smartsheet and JMP.
• Thorough understanding of ICH, FDA, EMA guidances and GMP requirements governing process development, manufacturing, and stability.
• Ability to travel domestically and internationally up to 25% of the time.

Total Compensation Range

$177,000 - $235,000

Where We Hire

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.

XML job scraping automation by YubHub

Key responsibilities include:

• Design and execute capability evaluations to assess the capabilities of new models
• 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
• Analyze safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

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 'reading' and 'writing' 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.

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.

XML job scraping automation by YubHub

Rezo Therapeutics is a biopharma company developing a disease-agnostic, fully-integrated, network biology platform to redefine the understanding of human disease and ability to treat it. Located in San Francisco's vibrant Mission Bay neighborhood, Rezo is in close proximity to UCSF, numerous urban amenities, and outdoor recreational opportunities.

The Opportunity

We are hiring a Senior Scientist, Discovery Biology to join Rezo's Biology Team. In this role, you will collaborate with an interdisciplinary group combining genetics, proteomics, structural biology, and AI to tackle challenging biological questions and develop transformative therapies.

Key Responsibilities:

• Develop and optimize molecular and cellular assays to study protein function in 2D/3D tumor models.
• Design and execute CRISPR-based genetic studies to evaluate target function and therapeutic potential.
• Develop and conduct cell-based functional assays to profile small molecule drugs and inform structure-activity relationships (SAR).
• Analyze experimental data, interpret findings, and prepare reports for internal discussions, regulatory filings.
• Collaborate across interdisciplinary teams and effectively communicate scientific results.
• Manage multiple projects efficiently in a dynamic and fast-paced setting.

Qualifications:

• PhD in cancer biology, or a related field with relevant postdoctoral or industry experience.
• Candidates with a Master’s or Bachelor’s degree with 10-12+ years of expertise, including CRISPR technologies and cancer research, are also encouraged to apply.
• Strong hands-on experience with 2D/3D tumor models and molecular biology techniques.
• Proficiency in genetic manipulation of cancer cells, including CRISPR/Cas9, RNAi, and other genome-editing tools.
• In-depth knowledge of the molecular and cellular mechanisms driving oncogenesis.
• Skilled in performing immunoblotting, proliferation/apoptosis assays, and phenotypic screening assays.
• Proven ability to work independently while fostering collaboration in a team environment.
• Excellent organizational, communication, and interpersonal skills.

Additional Information

Compensation at Rezo

The expected starting salary range for this position based in San Francisco, California for Sr. Scientist is $135,000-$190,000. Actual starting salary will be determined based on multiple job-related factors including candidate’s skills, education, and experience, the level at which they are hired, market demand, business needs, and internal parity.

Benefits at Rezo

Medical (HMO or PPO), dental, and vision insurance Discretionary time off policy Company holidays (including summer and winter shutdown) 401(k) retirement savings program Commuter / Mass Transit Benefit Program Healthcare Flexible Spending Account (FSA) Dependent care Flexible Spending Account (FSA) Parental leave Competitive compensation Flexible work schedule

XML job scraping automation by YubHub

The role reports to the Director of Computational Biology. This role can be Hybrid (2-3 days onsite in Brisbane, CA) or Remote role.

Responsibilities:

• Plan and execute development experiments for our multiomics cancer screening tests.
• Partner cross-functionally with computational, development, regulatory, and quality leaders to develop and execute a regulated development strategy working toward FDA approval.
• Use your quantitative skills to develop computational methods and interpret complex experimental results in order to optimize and validate innovative technology for sample collection, preparation, and detection.
• Develop and execute appropriate experimental design and analysis plans for Development, Verification, and Validation studies, closely partnering with Biostatistics, Development, and Pre-Analytics teams.
• Work closely with molecular and computational research teams developing our IVD products for blood-based molecular assays involving cell-free DNA.
• Impact patient lives through the development and launch of high-quality cancer screening technologies.

Requirements:

• Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.
• 3+ years of industry experience.
• Experience with molecular biology and next-generation sequencing.
• Experience in experimental design and analysis of high-throughput, quantitative technologies.
• Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.
• Experience in applied statistics, such as in hypothesis testing, GLM, and appropriate use of simulation.
• Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.
• Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail.
• Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.

Nice to Have:

• Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred.
• Experience with a variety of NGS methods (e.g., WGS, target capture with UMI, bisulfite sequencing, RNA-seq).

Benefits and Additional Information:

The US target range of our base salary for new hires is $161,925 - $227,325. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education.

XML job scraping automation by YubHub

The role reports to Manager, Scientific Operations. This role will be an onsite role based in our Brisbane, California headquarters.

Responsibilities:

• Perform routine lab work including pre-analytical sample processing, plasma isolation, and downstream genomics and proteomics assay processing.
• Operate liquid handler instruments to carry out experiments.
• Troubleshoot instrument and sample processing errors as needed; escalate and report issues through appropriate channels as needed.
• Identify and implement process improvements across the lab by thinking critically about the execution of all experiments.
• Verify all aspects of incoming specimens and assess acceptability for analytical testing.
• Maintain documentation for executed experiments.
• Perform equipment maintenance according to the laboratory's standard operating procedures for the following but not limited to: Hamiltons, Biosafety Cabinets, centrifuges, freezers, refrigerators, and pipettes, as needed.
• Assist with training of new laboratory personnel and training of new procedures with existing personnel.
• Document all corrective actions taken when test systems deviate from the laboratory's established performance specifications.
• Report all concerns of test quality and/or safety to the Supervisor or Safety Officer.
• Perform other miscellaneous laboratory duties as assigned and assist others as time allows.

Requirements:

• Bachelor's degree or Master's degree in molecular biology, biochemistry, genetics, chemical biology, or a related field.
• 2+ years relevant industry experience in a laboratory setting.
• Experience working with 96 or 384 well plate format assays.
• Proven track record of following SOPs, work instructions or experimental designs to completion.
• Strong organizational skills and attention to detail.
• Ability to work, execute, and troubleshoot protocols independently.

Nice to Have:

• Working understanding of GLP.
• Experience with NGS library preparation and/or sequencing.
• Experience with ELISA, Luminex, or other immunoassays.
• Familiarity with Liquid Handlers - Bravo, Hamilton, etc.

Benefits and Additional Information:

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'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.

XML job scraping automation by YubHub

This person will work cross-functionally with Research & 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.

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.

Key responsibilities include:

• Execute experiments to characterize and optimize NGS workflows, converting prototypes into high-throughput automated assays.
• Participate in data analysis and visualizations to answer experimental questions and identify areas for workflow optimization.
• Present findings at team meetings and prepare technical reports for internal and external stakeholders.
• Collaborate with cross-functional teams to integrate process improvements into the overall diagnostic workflow.
• Assist with generating Standard Operating Procedures and Work Instructions with Laboratory Operations and Clinical Laboratory for transfer.
• Support troubleshooting workflow issues, perform root-cause determinant experiments and propose effective data-driven solutions.
• Maintain detailed records of experiments, data, results and methodologies in compliance with Good Laboratory and Documentation Practices (cGLP, cGDP).

Requirements include:

• Bachelor’s or Master’s in Molecular Biology, Genetics, Biochemistry, or a related field with 2+ years of relevant industry experience.
• Hands-on experience in NGS based techniques, including nucleic acid extraction, library preparation, and sequencing.
• Experience with handling plasma and cfDNA in NGS workflows with low-volume, plate-based assay formats.
• Effectively communicates with team and cross-functional partners.
• High attention to detail - record and document accurate, objective observations, assess impact, and perform troubleshooting as needed.
• Excellent problem-solving skills, proactively looks for potential roadblocks, characterizes root causes to problems and collaborates with appropriate stakeholders.
• Ability to work independently as well as part of a cross-functional team.
• Flexible and adaptable to change and embrace a fluid work environment.

Nice to have:

• Familiarity in a common scientific programming language (e.g., Python, R)

XML job scraping automation by YubHub

This person is responsible for the technical roadmaps, feature prioritization, software requirements, and specification definition related to Lab Information Management Systems (LIMS), laboratory automation, and software managing sample processing-to-result generation.

You will define and execute the multi-year technical roadmap for IVD/LDT software platforms, ensuring alignment with clinical needs and regulatory requirements.

Key responsibilities include:

• Leading feature prioritization and software requirements definition of LIMS, lab automation, and software managing the sample processing-to-result generation to optimize high-throughput sample processing and data integrity.

• Directing the integration of complex diagnostic hardware with cloud-based or on-premise processing software, focusing on seamless end-to-end workflows.

• Ensuring all software products comply with global regulatory standards, including FDA, CLIA/CAP, ISO 13485, and HIPAA/GDPR data privacy requirements.

• Collaborating with R&D, Molecular Biology, Clinical Lab, Lab Automation, and Engineering teams to translate complex assay protocols into automated, scalable software requirements.

• Managing cross-functional dependencies between wet-lab operations, bioinformatics pipelines, and software engineering teams to ensure timely product delivery.

• Establishing and monitoring key performance indicators (KPIs) for software reliability, processing speed, and diagnostic accuracy in a clinical laboratory environment.

Requirements include:

• 8+ years in Technical Product Management, with at least 4 years specifically in IVD, Medical Devices, or Clinical SaaS.

• Proven experience with LIMS/LIS and laboratory automation workflows.

• Deep familiarity with FDA software guidelines and CLIA regulations.

• BS/MS in Computer Science, Bioengineering, Molecular Biology, or a related field.

• Demonstrated experience managing and scaling technical product teams in a regulated environment.

Nice to have qualifications include:

• MS or PhD in a technical or scientific field.

• Experience with Next-Generation Sequencing (NGS) data pipelines.

• Hands-on experience with cloud infrastructure (AWS/Azure/GCP) in a GxP environment.

The US target range of our base salary for new hires is $220,400 - $281,400. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

XML job scraping automation by YubHub

The role reports to the Supervisor, R&D Labs. This role will be an Onsite role.

Responsibilities: Collaborate with the Research, Development, Automation, Facilities and Supply Chain teams to ensure consistent laboratory support. Assist Research Associates and Scientists in preparing and aliquoting reagents. Perform routine maintenance on a variety of laboratory equipment. Assist with troubleshooting R&D lab equipment issues using established SOPs and WI’s. Operate automated liquid handling platforms to execute automated procedures. Assist with monitoring cold storage temperatures and respond to temperature excursion events. Assist with organizing and maintaining R&D reagent and sample inventory documentation. Act as a role model by demonstrating adherence to all proper safety protocols. Perform Accessioning and processing of patient samples. Support Biosample Management by picking and pulling samples. Contribute to Study Execution by performing Genomics workflows.

Requirements: Bachelor's Degree with 1-2 years of related experience. Strong communication skills and the ability to collaborate across disciplines. Experience in writing or updating documentation such as WI’s, SOPs and maintaining a detailed Lab notebook. Ability to follow SOPs and troubleshoot effectively. Strong understanding of current molecular biology techniques and DNA sequencing. Attention to detail and documentation practices within a repetitive work function.

Nice to Have: Valuable supplementary skills include: Experience handling and preparing blood and tissue samples. Proficiency with automated liquid handling platforms and software. Experience setting up Illumina sequencers. Experience maintaining laboratory equipment. Experience writing or updating documentation such as work instructions and SOPs. Experience working in BSL-2 laboratories and familiarity with 5S organizational practices.

Benefits and Additional Information: The US target range of our hourly rate for new hires is $30.60 - $39.12. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

XML job scraping automation by YubHub

The role reports to the Supervisor, R&D Labs. This role will be an Onsite role.

Responsibilities: Collaborate with the Research, Development, Automation, Facilities and Supply Chain teams to ensure consistent laboratory support. Assist Research Associates and Scientists in preparing and aliquoting reagents. Perform routine maintenance on a variety of laboratory equipment. Assist with troubleshooting R&D lab equipment issues using established SOPs and WI’s. Operate automated liquid handling platforms to execute automated procedures. Assist with monitoring cold storage temperatures and respond to temperature excursion events. Assist with organizing and maintaining R&D reagent and sample inventory documentation. Act as a role model by demonstrating adherence to all proper safety protocols. Perform Accessioning and processing of patient samples. Support Biosample Management by picking and pulling samples. Contribute to Study Execution by performing Genomics workflows.

Requirements: Bachelor's Degree with 1-2 years of related experience. Strong communication skills and the ability to collaborate across disciplines. Experience in writing or updating documentation such as WI’s, SOPs and maintaining a detailed Lab notebook. Ability to follow SOPs and troubleshoot effectively. Strong understanding of current molecular biology techniques and DNA sequencing. Attention to detail and documentation practices within a repetitive work function.

Nice to Have: Valuable supplementary skills include: Experience handling and preparing blood and tissue samples. Proficiency with automated liquid handling platforms and software. Experience setting up Illumina sequencers. Experience maintaining laboratory equipment. Experience writing or updating documentation such as work instructions and SOPs. Experience working in BSL-2 laboratories and familiarity with 5S organizational practices.

Benefits and Additional Information: The US target range of our hourly rate for new hires is $30.60 - $39.12. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.

XML job scraping automation by YubHub

Key Responsibilities:

• Lead BigHat's antibody discovery and display functions, setting the scientific, technical, and strategic direction
• 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
• Manage and mentor a team of scientists responsible for antibody library design, generation, screening, selection, and early optimization
• Shape and expand BigHat's antibody discovery technologies and capabilities, including new display and selection methods, library design strategies, and technical approaches that leverage and enhance the company's integrated experimental and computational platform
• Provide scientific leadership across discovery and early optimization efforts, ensuring antibodies emerging from selections possess strong functional and developability characteristics
• 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
• Collaborate with biology and therapeutic research leads to ensure display outputs align with and advance program objectives
• Foster a collaborative and high-performance culture within the discovery organization

Benefits: The 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.

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.

XML job scraping automation by YubHub

Key Responsibilities:

Perform automated and manual high-throughput processing on the BigHat platform, including DNA preparation, protein expression, and protein characterization. Contribute to the scaling up of BigHat's platform and production-grade data generation. Support BigHat's Platform Reagents & Assay Support (PRAS) function by contributing to in-house reagent manufacturing efforts. Execute experiments to optimize the performance efficiency of BigHat's platform. Keep a detailed record of all experiments using BigHat's documentation tools, and clearly communicate results and challenges. Collaborate on the creation of laboratory standard operating procedures (SOPs) for sample processing. Collaborate closely with BigHat team members to identify, design, and implement critical process and operational improvements to production workflows and laboratory systems. Operate automated liquid handlers and analytical instruments to ensure all lab and platform operations run efficiently.

Skills, Knowledge & Expertise:

BS in Biology or Chemistry, with 1+ year(s) of industry experience Experience in process execution, laboratory method development, optimization, and troubleshooting. Hands-on experience with, or interest in, automated liquid handlers (e.g. Hamilton, OpenTrons, Tecan, Agilent systems). Experience with molecular biology techniques and general lab practices. Efficient time management and ability to work on several projects simultaneously, in a dynamic start-up environment. Strong interpersonal skills and ability to effectively communicate with members of a multidisciplinary team. Excellent record keeping abilities to document experimental work and analytical data. Nice-to-haves include previous experience working with barcoding systems, inventory tracking, and experience with Google Workspace tools (Docs, Sheets, Slides, etc.).

Benefits: The salary estimated for this position is $75,000 - $105,000 + bonus + options + benefits. Compensation will vary depending on job-related knowledge, skills, and experience. Actual compensation will be confirmed in writing at the time of the offer. Range of health insurance plan options through Anthem and Kaiser (monthly credit if benefit waived) 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

XML job scraping automation by YubHub

Anthropic'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.

About the Role

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.

In this role, you will:

• Design and execute capability evaluations ('evals') to assess the capabilities of new models
• 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
• Analyse safety system performance in traffic, identifying gaps and proposing improvements
• Develop rigorous stress-testing of our safeguards against evolving threats and product surfaces
• Partner with Research, Product, and Policy teams to ensure biological safety is embedded throughout the model development lifecycle
• Contribute to external communications, including model cards, blog posts, and policy documents related to biological safety
• Monitor emerging technologies for their potential to contribute to new risks and new mitigation strategies, and strategically address these

You may be a good fit 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
• Extensive experience in scientific computing and data analysis, with proficiency in programming (Python preferred)
• Deep expertise in modern biology, including both 'reading' (e.g. high-throughput measurement, functional assays) and 'writing' (gene synthesis, genome editing, strain construction, protein engineering) techniques in biology
• Familiarity with dual-use research concerns, select agent regulations, and biosecurity frameworks (e.g., Biological Weapons Convention, Australia Group guidelines)
• Strong analytical and writing skills, with the ability to navigate ambiguity and explain complex technical concepts to non-technical stakeholders
• Have a passion for learning new skills and an ability to rapidly adapt to changing techniques and technologies
• Comfort working in a fast-paced environment where priorities may shift as AI capabilities evolve

Preferred Qualifications

• Background in AI/ML systems, particularly experience with large language models
• Experience in developing ML for biological systems
• Extensive experience in complex projects with multiple stakeholders

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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.

Visa sponsorship: We do sponsor visas! However, we aren'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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

Your safety matters to us. 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're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

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

XML job scraping automation by YubHub