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Ultima Genomics
Permanent
May 20, 2026

Staff Bioinformatics Scientist, Oncology Applications

$135,000 - $170,000
Remote
Remote

Rapidly Growing Life Sciences Technology Company  

Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.  

We are looking for a highly motivated Staff Bioinformatics Scientist to join our Oncology Applications team!

As a Staff Bioinformatics Scientist, you will develop and apply computational methods for analyzing next-generation sequencing (NGS) data generated on Ultima’s platform. This role will involve building robust pipelines, developing novel algorithms, collaborating cross-functionally with molecular biology, software engineering, and product teams, and driving insights from complex genomic datasets, with a focus on growing Oncology Applications.

This position is ideal for someone who thrives in a dynamic, fast-paced environment and can effectively balance multiple high-impact projects. In addition to core R&D responsibilities, you will contribute to external-facing scientific communications and support collaborations with customers and partners.

This is a full time remote position with preferred locations in San Francisco, Boston, and Washington D.C.

How You’ll Contribute

  • Develop, optimize, and maintain scalable bioinformatics pipelines for NGS data analysis such as WGS, WES, RNA-seq, and single-cell.
  • Design and implement novel algorithms for secondary and tertiary NGS analysis tailored to Ultima’s sequencing chemistry.
  • Lead and execute multiple projects simultaneously, effectively prioritizing deliverables in alignment with evolving company goals.
  • Perform benchmarking and validation studies.
  • Analyze large-scale genomic datasets and generate actionable insights for internal R&D, product development, and external collaborators.
  • Collaborate closely with wet-lab scientists, software engineers, and product teams to translate experimental results into improved workflows and tools.
  • Support external collaborations by preparing technical analyses, reports, presentations, and data summaries for customers, partners, and conferences.
  • Contribute to scientific publications, application notes, white papers, and other external communication materials as needed.
  • Participate in customer-facing discussions to explain data analysis approaches, performance metrics, and platform capabilities.
  • Document methods clearly and communicate findings effectively to both technical and non-technical audiences.
  • Stay current with emerging technologies and advances in genomics, computational biology, machine learning, and cancer biology.
  • Other duties as assigned.

Qualifications, Skills, Knowledge & Abilities

  • PhD in Bioinformatics, Computational Biology, Genomics, Computer Science, or related field; or MS with significant industry experience.
  • PhD with 5+ years or MS with 8+ years of hands-on experience analyzing NGS data required.
  • Strong programming skills in Python and/or C++.
  • Experience with common bioinformatics and somatic variant calling tools such as BWA, minimap2, GATK, samtools.
  • Proficiency in Linux/Unix environments and workflow management systems (Nextflow, Snakemake, WDL).
  • Experience working with large datasets in cloud environments (AWS, GCP).
  • Solid understanding of genomics and cancer biology.
  • Strong statistical and data analysis skills.
  • Demonstrated ability to manage multiple concurrent priorities and deliver high-quality work under tight timelines.
  • Knowledge of machine learning approaches applied to genomics.
  • Clear and confident communicator, comfortable in external-facing settings.
  • Experience in regulated environments (CLIA, CAP) is a plus.
  • Thrive in a fast-paced, startup environment with evolving priorities.
  • Demonstrated scientific rigor and analytical thinking.
  • High ownership, accountability, and bias toward action.
  • Collaborative mindset with cross-functional agility.

Compensation & Benefits

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $135,000 and $170,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

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 & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

#LI-Remote

Equal Opportunity Employment

Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws.  

See also Ultima Genomics’ EEO Policy and Know Your Rights. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.

Altos Labs
Permanent
May 20, 2026

Scientist, In Vivo Genomics

$148,700 - $252,600
San Francisco Bay Area, CA
Onsite

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

Our Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

Diversity at Altos

Altos Labs has been named one of the Top 3 Biotech Companies and ranked for the second year on the Forbes 2026 Best Startups in America list. At Altos, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining a diverse and inclusive environment.  

What You Will Contribute To Altos

We are seeking an exceptional and versatile Scientist to join Discovery Science at Altos Labs. This role is ideal for a creative experimental scientist with deep expertise in functional genomics, in vivo biology, and/or next-generation genomics technologies who is excited to uncover new regulators of cell state, tissue resilience, and rejuvenation biology.

The successful candidate will help build and apply next-generation discovery platforms spanning in vitro and in vivo systems, with opportunities to contribute across areas such as genome-scale perturbation screening, in vivo genomics technology development, target discovery, and tissue-level functional genomics. Depending on background and interests, the successful candidate may contribute more heavily toward platform and technology development or toward mechanistic and translational biology.

We are looking for broadly capable scientists with strong technical depth, scientific creativity, and the curiosity to pursue new biological frontiers in a highly collaborative environment.

Key Responsibilities

  • Design and execute innovative research strategies to identify causal regulators of cell state, aging, regeneration, and disease biology.
  • Develop and apply functional genomics approaches, including pooled perturbation screens, CRISPR-based technologies, and other scalable discovery tools.
  • Build and apply in vivo genomics approaches to enable target discovery and mechanistic studies in physiologically relevant systems.
  • Develop robust experimental workflows connecting genetic perturbation to molecular and phenotypic readouts across cellular and animal models.
  • Apply genomic and molecular profiling methods, including transcriptome, translatome, proteome, single-cell, and spatial readouts, to uncover novel biological mechanisms.
  • Generate mechanistic hypotheses and drive validation studies using appropriate in vitro and in vivo systems.
  • Translate in vitro discoveries into in vivo systems through the design and execution of hands-on mouse studies in relevant disease models.
  • Develop, optimize, and apply in vivo delivery approaches, including viral and nucleic acid-based delivery systems such as AAV and LNP platforms.
  • Collaborate closely with computational scientists and cross-functional teams to integrate multidimensional datasets and generate actionable biological insight.
  • Lead project strategy, experimental design, execution, troubleshooting, and data interpretation.
  • Contribute to publications, patents, and broader scientific strategy.

Who You Are

  • PhD in Molecular Biology, Genetics, Genomics, Biochemistry, Bioengineering, Systems Biology, or related field, with relevant postdoctoral and/or industry experience preferred.
  • Strong track record of scientific accomplishment through publications, patents, or impactful platform development.
  • Demonstrated expertise in two or more of the following areas:
    • Functional genomics, perturbation screening, single-cell, spatial, or other next-generation genomics technologies
    • Hands-on in vivo experience with disease mouse models
    • Disease cell and mechanistic biology
    • Bioinformatics and multi-omic data analysis
  • Ability to independently lead complex research projects from concept to execution.
  • Strong analytical skills and ability to derive biological insight from multidimensional datasets.
  • Excellent written and verbal communication skills.
  • Demonstrated ability to work effectively in highly collaborative, interdisciplinary environments.
  • Scientific rigor, creativity, and comfort operating in rapidly evolving areas.

Preferred Qualifications

  • Experience with in vivo functional genomics or pooled screening approaches.
  • Expertise in single-cell sequencing, spatial genomics, ribosome profiling, lineage tracing, or other next-generation genomics methods.
  • Experience in small rodent handling, with an ability to independently design and coordinate the execution of complex in vivo studies, including drug administration, tissue harvest and processing.
  • Hands-on experience with in vivo delivery modalities including AAV, LNP, or related delivery systems.
  • Expertise in physiologically relevant model systems, including stem cell-derived systems, primary human cells, organoids, ex vivo tissue systems, or disease mouse models.
  • Experience linking large-scale discovery platforms to mechanistic follow-up and target validation.
  • Strong computational biology and bioinformatics expertise integrating transcriptomic, proteomic, translatomic, imaging, phenotypic screening, and other multi-omic datasets.
  • Background in aging biology, regeneration, fibrosis, inflammation, metabolic disease, neurodegeneration, or related therapeutic areas.
  • Experience or interest in studying novel biological mechanisms and emerging areas of biology.

The salary range for Redwood City:

  • Scientist I, Genomics: $148,700 - $190,700
  • Scientist II, Genomics: $162,700 - $208,600
  • Senior Scientist I, Genomics: $197,000 - $252,600

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

Equal Opportunity Employment

We value collaboration and scientific excellence.

We believe that a culture of belonging are foundational to scientific innovation and inquiry. At Altos Labs, exceptional scientists and industry leaders from around the world work together to advance a shared mission. Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives. We are all accountable for sustaining an inclusive environment.

Altos Labs provides equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Altos prohibits unlawful discrimination and harassment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Thank you for your interest in Altos Labs where we strive for a culture of scientific excellence, learning, and belonging.  

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/  

GenBio AI
Internship
May 14, 2026

Research Scientist Intern

N/A
Abu Dhabi
Onsite

About Us

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description

  • You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

Qualification

  • Education: M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Technical Skills: Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
  • Theoretical Foundation: Strong knowledge in statistics, optimization, graph theory, and linear algebra.
  • Soft Skills: Passion for interdisciplinary research (AI + Biology), motivated, self-driven, and able to operate with high-level objectives in a start-up environment.
  • Best Practices: Familiarity with software engineering standards (version control, documentation, etc.).

Nice to Have

  • 3rd year PhD student and above.
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
  • Intern experience in industry leaders (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Hands-on experience working specifically at the intersection of AI and Biology.
  • Experience in large-scale distributed training and inference.
  • Open-source contributions, especially those widely used by the community.

Deep Genomics
Permanent
May 14, 2026

Research Associate, Platform Technology

N/A
Cambridge, MA
Onsite

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.  

Opportunity

We are looking for a passionate and detail-oriented Research Associate to become an integral part of our Platform Technology team. This is an opportunity to contribute hands-on to an AI-driven drug discovery platform, generating the experimental data that directly informs the biological models powering our therapeutic pipeline. You will bring scientific curiosity and rigor to the bench, supporting the execution of molecular and sequencing-based assays that our computational and therapeutic teams rely on to advance program goals.

This role offers early-career professionals a meaningful foothold in a cross-functional discovery environment, with exposure to cutting-edge technologies spanning NGS workflows, liquid handling automation, and diverse RNA therapeutic modalities including ADAR editing, ASOs, siRNAs, and mRNAs. If you are eager to develop technical breadth while contributing to work that has real therapeutic impact, we encourage you to apply.

Key Responsibilities

  • Execute amplicon sequencing workflows, including NGS library preparation and targeted sequencing, under the guidance of senior team members, to support the evaluation of RNA therapeutic candidates.
  • Carry out library QC using tools such as TapeStation, Qubit, and qPCR, flagging workflow bottlenecks to ensure high-quality datasets for downstream computational analysis.
  • Operate sequencing instruments such as the Illumina NextSeq, including run setup and routine troubleshooting, with increasing independence over time.
  • Perform routine molecular biology techniques including PCR, qPCR/ddPCR, and nucleic acid extractions from a variety of cell types and tissues.
  • Assist in running automated workflows on liquid handling platforms (e.g., Hamilton STAR, Agilent Bravo, Beckman Echo) to support scaling of discovery and screening activities.
  • Maintain accurate and thorough documentation of experimental plans, results, SOPs, and troubleshooting steps within an electronic lab notebook (ELN).
  • Contribute to team meetings and share experimental results and assay updates with immediate project collaborators.

Basic Qualifications

  • BS in Molecular Biology, Genetics, Genomics, Biotechnology, Biochemistry, or a related discipline.
  • 1–3 years of relevant industry or research experience (including internships or postgraduate research).
  • Foundational knowledge of molecular and cell biology principles.
  • Hands-on exposure to amplicon sequencing or other targeted NGS workflows.
  • Experience with nucleic acid extraction, quantitation, and standard molecular biology techniques (PCR, qPCR/ddPCR, gel electrophoresis).
  • Strong attention to detail and commitment to rigorous, reproducible lab work.
  • Ability to work both independently and collaboratively in a team-oriented environment.

Preferred Qualifications

  • Proficiency with liquid handling platforms such as Hamilton, Beckman, or Bravo.
  • Working familiarity with RNA therapeutic modalities such as ADAR editing, ASOs, siRNAs, or mRNA.
  • Experience with mammalian cell culture, including transfection-based assays.
  • Prior exposure to a biotechnology, pharmaceutical, or platform-driven research environment.

Deep Genomics
Permanent
May 14, 2026

Associate Director, in vitro Pharmacology

N/A
Cambridge, MA
Onsite

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.  

Opportunity

The Associate Director, in vitro pharmacology will be responsible for leading the target validation function at Deep Genomics with the goal of advancing our RNA editing therapeutics portfolio. This is a leadership role with the opportunity to make a significant impact on Deep Genomics’ therapeutic pipeline. Success in this role requires the ability to lead strategically, execute tactically, and influence others in a highly matrixed and multidisciplinary team.

The ideal candidate will have direct experience in designing, executing and interpreting target validation studies for a variety of liver disease indications. Deep knowledge of a variety of in vitro liver models, relevant functional assays and genome engineering methods is essential. Direct experience with ADAR or other oligonucleotide therapeutics is highly beneficial as is experience with pooled screening approaches and laboratory automation. This role requires leadership from the bench as well as experience supervising junior scientists directly and indirectly. In addition to working closely with the therapeutic program teams, the candidate is expected to work closely with our Target Identification team to translate AI-derived target nominations into a clear action plan leading to go/no-go decisions.

As a key member of an early stage discovery team, this individual must demonstrate initiative and ownership in both scientific and strategic decisions and have an entrepreneurial mindset. Ability to pro-actively anticipate needs and independently seek solutions is a key skill, together with effective communication in all directions. This role may lead to the opportunity to manage and mentor direct reports in the future. Please note that the title is commensurate with prior experience.

Key Responsibilities

  • Lead all aspects of liver biology target validation from strategy, execution and interpretation, working with direct and indirect reports.
  • Serve as the senior liver biology subject matter expert, leading in vitro pharmacology strategy and collaborating closely with the in vivo pharmacology team to advance therapeutic programs.
  • Collaborate closely with the Target Identification team on availability, feasibility and predictive power of in vitro models and assays for new targets.
  • Present clear, data-driven go/no-go decisions on novel targets.
  • Demonstrate strong leadership, personal accountability and interpersonal skills, and capability for mentoring (direct reports and others).
  • Analyze, interpret and present data to scientists and management in internal and external venues and publish in peer-reviewed journals as appropriate.

Basic Qualifications

  • PhD in biological sciences with 6+ years of post-graduate experience in relevant roles (or equivalent) in in vitro pharmacology for the development of genetic medicines.
  • 3+ years building, managing, and leading teams to meet therapeutic program goals.
  • Direct, hands-on experience with in vitro models of liver disease and a wide array of functional assays including steatosis, inflammation and fibrosis.
  • Direct, hands-on experience with gene editing or oligonucleotide therapeutics.
  • Proven ability to work independently and cross-functionally in a fast-paced environment.
  • Ability to communicate complex data sets to key stakeholders from diverse backgrounds.
  • Strong personal qualities, including attention to detail, emotional intelligence, integrity, creativity, and a willingness to have ideas challenged by team members and to challenge them.

Preferred Qualifications

  • Experience with advanced in vitro liver models e.g. iPSC derived cells, organoids, co-culture systems.
  • Prior experience executing studies with contract research organizations.
  • Experience planning and writing regulatory packages including IND submissions.
  • Understanding of target discovery via human genetics.
  • Strong computational background or demonstrated ability to interface with computational biology teams.

What We Offer

  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
  • Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
  • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
  • Maternity and parental leave top-up coverage, as well as new parent paid time off.
  • Focus on learning and growth for all employees - learning and development budget & lunch and learns.
  • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

Deep Genomics
Permanent
May 14, 2026

Senior Scientist, Analytical Chemistry

N/A
Cambridge, MA
Onsite

About Us

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.  

Opportunity

This role based in Cambridge, MA is focused on the analytical characterization and formulation of oligonucleotides in support of the research efforts at Deep Genomics. The individual in this role will assure the identity and purity levels of oligonucleotides as they are obtained from external CROs as well as from pre-clinical in vitro and in vivo metabolism experiments. The person in this role will also be responsible for the formulation of oligonucleotides for in vitro and in vivo experimentation. Further, responsibility for the management of research samples falls within the remit of this role.

Key Responsibilities

  • Working with the leader of Molecular Design Chemistry, develop and implement a plan for the installation of an LCMS system for analysis of oligonucleotides.
  • Maintain as superuser an LCMS system for the characterization of oligonucleotides for identify, purity, and stability.
  • Develop analytical methods for the LCMS system to characterize research oligonucleotide samples including characterization of chemical and metabolic stability.
  • Maintain efficient workflows, combining internal and external analytical work at CROs.
  • Generate Certificate of Analysis reports from such data.
  • Perform formulation processes to provide research samples ready for in vitro and in vivo experimentation including endotoxin analysis.
  • Develop and maintain a sample tracking system for the compounds that come into Deep Genomics at Cambridge.
  • Future responsibilities may include bioanalysis of PK samples.

Basic Qualifications

  • PhD in analytical, pharmaceutical sciences, or bio-organic chemistry including expertise in HPLC (high pressure liquid chromatography) and mass spectrometry with 2 years experience; MS in similar fields with +5 years experience.
  • Experience in the laboratory techniques for oligonucleotides.
  • Experience in designing and implementing new processes for oligonucleotide samples.

Preferred Qualifications

  • Experience with oligonucleotide therapeutics including formulation.
  • Understanding of in vitro assays and/or in vivo experiment involved in ADAR, siRNA and ASO-modality therapeutics.
  • Experience in bioanalysis and GxP methods and laboratory operations would be a benefit.

What We Offer

  • A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
  • Highly competitive compensation, including meaningful stock ownership.
  • Comprehensive benefits - including health, vision, and dental coverage for employees and families, employee and family assistance program.
  • Flexible work environment - including flexible hours, extended long weekends, holiday shutdown, unlimited personal days.
  • Maternity and parental leave top-up coverage, as well as new parent paid time off.
  • Focus on learning and growth for all employees - learning and development budget & lunch and learns.
  • Facilities located in the heart of Toronto - the epicenter of machine learning and AI research and development, and in Kendall Square, Cambridge, Mass. - a global center of biotechnology and life sciences.

BillionToOne
Permanent
May 14, 2026

Process Engineering Associate II

$75,029 - $85,748
Union City, CA / Austin, TX
Onsite

Ready to redefine what's possible in molecular diagnostics?

Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.

Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.

If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.

We seek a Process Engineering Associate II whose interests span molecular diagnostics, process optimization, and quantitative problem solving. In this role you will (1) drive process improvement and development to enhance clinical assay performance, (2) support technology transfer from R&D into our high-throughput CLIA lab, and (3) troubleshoot and identify root causes of recurring errors to enable long-term corrective actions. You will also play a key role in standing up our newly built lab in Austin, TX. You will leverage and deepen your expertise across molecular techniques, laboratory automation, and data analysis while contributing directly to category-defining NIPT assays that transform patient lives one molecule at a time. This onsite position starts at our Union City, CA laboratory and will relocate to Austin, TX in summer 2027. The Process Engineering Associate II reports to the Senior Development Scientist.

Austin Expansion Update:

We are building a brand-new state-of-the-art laboratory in Austin, Texas, expected to launch in late 2027 / early 2028, and we are looking for talented laboratory professionals who want to be part of this journey from the very beginning.

Candidates hired into this role will initially relocate to the Bay Area (Union City, CA) to train and work alongside our experienced laboratory teams. During this time (up to ~18 months), you will gain deep hands-on experience with BillionToOne’s cutting-edge molecular diagnostic workflows, quality systems, and laboratory operations before transitioning to our new Austin facility once it opens.

This is a unique opportunity to gain hands-on training with our experienced lab teams and become one of the founding members of our Austin laboratory.

Responsibilities:

  • Design, execute, and analyze wet lab experiments to improve process efficiency and assay reliability.
  • Evaluate new molecular biology techniques and technologies to enhance assay performance.
  • Perform complex manual and automated laboratory procedures (e.g. nucleic acid extraction, PCR, sequencing, reagent preparation).
  • Conduct assay validation studies to qualify new and improved assays for clinical use at both sites.
  • Build data analysis and software tools to monitor process health, surface sources of error, and accelerate troubleshooting.
  • Collaborate with the team to analyze complex data, diagnose issues, and implement solutions.
  • Support technology transfer to our new Austin, TX CLIA lab to bring the new site online.
  • Present project progress, data, and technical insights to the team and department.

Qualifications:

  • BS or MS in a relevant scientific or engineering discipline (e.g., Bioengineering, Chemical Engineering, Molecular Biology, Biochemistry, Chemistry, or Physics).
  • At least 1 year of hands-on lab research experience, including core molecular biology techniques (e.g., PCR, DNA/RNA extraction, sequencing).
  • Exceptional analytical reasoning and troubleshooting skills, with experience in data analysis (bioinformatics, statistical analysis, or similar) and comfort using modern AI tools.
  • Strong mathematical and statistical aptitude, with a process- and systems-level mindset.
  • Excellent attention to detail and clear written and verbal communication.
  • Driven, creative, and persistent, with a willingness to go above and beyond and to work both independently and collaboratively in a fast-paced environment.
  • Willingness to relocate from Union City, CA to Austin, TX in summer 2027.

Nice-to-haves:

  • Start-up experience.
  • Previous automation or clinical laboratory experience.
  • Experience with next-generation sequencing (NGS) and library preparation.
  • Experience in a cell-free DNA setting.
  • Prior experience with technology transfer, assay validation, or new lab/site standup.

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings
  • The ability to indirectly or directly change the lives of hundreds of thousands patients
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%
  • Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
  • Free UNITY Complete NIPT testing for employees & spouses
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Free daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)
  • Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $104,322 per year, including a base pay range of $75,029 - $85,748 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For more information about how we protect your information, we encourage you to review our Privacy Policy.

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA, a breakthrough that has already transformed the lives of over half a million patients worldwide.

Our Impact

Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.

Our Growth

From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding, including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.

Our Recognition

Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.

Our Future

Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.

Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com

BillionToOne
Permanent
May 14, 2026

Process Engineering Associate II

$75,029 - $85,748
Union City, CA
Onsite

Ready to redefine what's possible in molecular diagnostics?

Join a team of brilliant, passionate innovators determined to transform healthcare. At BillionToOne, we've built a category-defining, publicly traded company on Nasdaq where transparency fuels trust, collaboration drives breakthroughs, and every contribution moves the needle on our mission to make life-changing diagnostics accessible to all. We don't just aim for incremental improvements; we build products that are 10x better than anything that exists today.

Our scientists, engineers, sales executives, and visionaries are united by an unwavering commitment to changing the standard of care in prenatal and cancer diagnostics. This is where cutting-edge science meets human compassion, and every innovation you contribute helps remove the fear of the unknown from some of life's most critical medical moments.

If you're driven by purpose, energized by innovation, and ready to help shape the future of precision medicine at scale, this is where you belong.

We seek a Process Engineering Associate II whose interests span molecular diagnostics, process optimization, and quantitative problem solving. In this role you will (1) drive process improvement and development to enhance clinical assay performance, (2) support technology transfer from R&D into our high-throughput CLIA lab, and (3) troubleshoot and identify root causes of recurring errors to enable long-term corrective actions. You will also play a key role in standing up our newly built lab in Austin, TX. You will leverage and deepen your expertise across molecular techniques, laboratory automation, and data analysis while contributing directly to category-defining NIPT assays that transform patient lives one molecule at a time. This onsite position starts at our Union City, CA laboratory and will relocate to Austin, TX in summer 2027. The Process Engineering Associate II reports to the Senior Development Scientist.

Responsibilities:

  • Design, execute, and analyze wet lab experiments to improve process efficiency and assay reliability.
  • Evaluate new molecular biology techniques and technologies to enhance assay performance.
  • Perform complex manual and automated laboratory procedures (e.g. nucleic acid extraction, PCR, sequencing, reagent preparation).
  • Conduct assay validation studies to qualify new and improved assays for clinical use at both sites.
  • Build data analysis and software tools to monitor process health, surface sources of error, and accelerate troubleshooting.
  • Collaborate with the team to analyze complex data, diagnose issues, and implement solutions.
  • Support technology transfer to our new Austin, TX CLIA lab to bring the new site online.
  • Present project progress, data, and technical insights to the team and department.

Qualifications:

  • BS or MS in a relevant scientific or engineering discipline (e.g., Bioengineering, Chemical Engineering, Molecular Biology, Biochemistry, Chemistry, or Physics).
  • At least 1 year of hands-on lab research experience, including core molecular biology techniques (e.g., PCR, DNA/RNA extraction, sequencing).
  • Exceptional analytical reasoning and troubleshooting skills, with experience in data analysis (bioinformatics, statistical analysis, or similar) and comfort using modern AI tools.
  • Strong mathematical and statistical aptitude, with a process- and systems-level mindset.
  • Excellent attention to detail and clear written and verbal communication.
  • Driven, creative, and persistent, with a willingness to go above and beyond and to work both independently and collaboratively in a fast-paced environment.
  • Willingness to relocate from Union City, CA to Austin, TX in summer 2027.

Nice-to-haves:

  • Start-up experience.
  • Previous automation or clinical laboratory experience.
  • Experience with next-generation sequencing (NGS) and library preparation.
  • Experience in a cell-free DNA setting.
  • Prior experience with technology transfer, assay validation, or new lab/site standup.

Benefits And Perks:

  • Working alongside brilliant, kind, passionate and dedicated colleagues, in an empowering environment, toward a global vision, striving for a future in which transformative molecular diagnostics can help millions of patients
  • Open, transparent culture that includes weekly Town Hall meetings  
  • The ability to indirectly or directly change the lives of hundreds of thousands patients  
  • Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered up to 80%  
  • Extremely generous Family Bonding leave for new parents (16 weeks, paid at 100%)
  • Free UNITY Complete NIPT testing for employees & spouses
  • Supplemental fertility benefits coverage
  • Retirement savings program including a 4% Company match
  • Increase paid time off with increased tenure
  • Latest and greatest hardware (laptop, lab equipment, facilities)
  • Free daily on-site lunches provided from top eateries
  • A variety of perks on campus (state of the art gym, restaurant)  
  • Free on-site EV charging (compatible with all EVs, including Tesla)  

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).  

For this position, we offer a total compensation package of $104,322 per year, including a base pay range of $75,029 - $85,748 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

For more information about how we protect your information, we encourage you to review our Privacy Policy.

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Our revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA,a breakthrough that has already transformed the lives of over half a million patients worldwide.

Our Impact

Unity Complete™ is the only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample. Our Northstar® liquid biopsy test uniquely combines treatment selection with real-time monitoring, giving oncologists unprecedented precision in cancer care.

Our Growth

From $0 to $150M+ in Annual Recurring Revenue in just five years. In 2025, we completed one of the most successful IPOs for a medical diagnostics company, building on nearly $400M in private funding,including our $130M Series D in 2024 and backed by world-class investors including Hummingbird, Adams Street Partners, Neuberger Berman, Baillie Gifford, and Premji Invest.

Our Recognition

Forbes named us one of America's Best Startup Employers for 2025 and we're Great Place to Work certified, with 100% of our people willing to go the extra mile, even as we've scaled to over 700 employees.

Our Future

Headquartered in Menlo Park with facilities in Union City, CA, and a new lab opening in Austin, TX in 2027, we're continuing to push the boundaries of what's possible in molecular diagnostics. We're just getting started.

Ready to help us change the world, one molecule at a time? Learn more at billiontoone.com

GenBio AI
Internship
May 11, 2026

Research Engineer Intern

N/A
Paris, France
Onsite

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

  • You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

Qualification:

  • Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
  • A strong coder with excellent skills in C/C++ and Python.
  • Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
  • Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
  • Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
  • Have experience improving ML accuracy using low-precision formats.
  • Have 1+ years of relevant industry experience.
  • Derive a great deal of satisfaction from every percentage point of performance improvement.
  • Have experience writing and optimizing compute kernels using CUDA or similar languages.

Nice to Have:

  • Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
  • Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
  • Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
  • Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
  • Knowledge of performance profiling and optimization tools for HPC and deep learning.

Personalis, Inc
Permanent
May 11, 2026

Sr. Staff Scientist, Assay R&D

$170,000 – $200,000
Fremont, CA
Onsite

Based in Fremont, California, Personalis is a genome-oriented diagnostics company pioneering new paradigms in cancer management. We transform patient care through genomic characterization of tumors and ultrasensitive detection of disease recurrence or progression.  To achieve this, we leverage whole-genome, exome, and bespoke targeted sequencing with proprietary algorithms to provide unmatched genetic accuracy.

Join a world-class, multidisciplinary team to drive impactful R&D projects to improve our cutting-edge clinical offerings. Your work will advance a new generation of precision medicine products used by global biopharma and clinicians to transform cancer diagnostics and therapeutics.

Responsibilities:

  • Organize and help perform internal proof of principle projects, development projects, and verification and validation exercises for liquid biopsy products in the Personalis portfolio.
  • Work with the broader R&D organization to scope, track and troubleshoot liquid biopsy projects with internal and external collaborators and customers.
  • Collaborate with process development, tech transfer, and operations teams to shepherd early stage products, product revisions, and early projects through to operations.
  • Work with bioinformatics teams to plan experiments and analyze results.
  • Identify problems in current processes and come up with troubleshooting approaches and
  • Participate in meetings and present results.  
  • Use effective two-way communication to create and maintain a collaborative working environment.  
  • Support and ensure compliance with all department and company policies and procedures.  

Education and Experience:  

  • Ph.D or MS with a minimum of 8 or 12 years of experience.
  • Minimum of 2 years of laboratory experience in NGS and/or liquid biopsy focused molecular biology.
  • Solid understanding of DNA/RNA manipulation.
  • Excellent organization, documentation and communication skills.
  • Passion for exploring new assays, hands-on experiment execution and creative thinking to solve problems.
  • Excellent ability to multitask and troubleshoot complex protocols.
  • Experience with automation (Hamilton or other liquid handlers) helpful.
  • ISO13485 validation experience helpful.
  • Data analysis skills with experience in Excel, JMP, R or Python.
  • Prior experience working with a LIMS directed environment.
  • Prior experience in cancer biology is strongly desired.

The hiring range for this position is $170,000 to $200,000 per year, which may factor in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. Our full-time regular positions also include an annual performance-based bonus (or a sales incentive plan) and long-term incentive units (equity) provided as part of our compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the level and position offered.  

Personalis is an equal opportunity employer and is committed to the full inclusion of all individuals. As part of this commitment, Personalis will ensure that persons with disabilities are provided with reasonable accommodations. If you need an accommodation to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your recruiter know, if/when they contacts you.  

Protecting Our Candidates: At Personalis, we value your security. Please note that all official correspondence from our team will come exclusively from @personalis.com email addresses. We will never ask for personal financial information or conduct interviews over text or chat platforms. If you receive a suspicious request, it is likely a scam. We are committed to a safe recruitment experience and actively work with authorities to investigate and prosecute cyber crimes targeting our community.

Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities. Personalis offers a competitive compensation package and benefits including medical, dental, vision, 401(k) match, ESPP, tuition reimbursement, sick/vacation time, commuter benefits/ EV charging stations, onsite gym, and wellness benefits. (For US only, benefits in other countries may vary.)  

#LI-KK1 #LI-Onsite  

Personalis, Inc
Permanent
May 11, 2026

Sr. Director, Advanced Technologies

$240,000 – $285,000
Fremont, CA
Onsite

Personalis is a genome-scale diagnostics company with a mission to pioneer genome guided medicine. Our priority is to obtain the most accurate genetic data from each sample, and then to draw the most reliable medically-focused conclusions from these. Our tests are based on whole human genome and exome sequencing, conducted in our state-of-the art laboratory.  We analyze results utilizing proprietary databases, advanced human reference sequences, and sophisticated algorithms. Personalis is based in Fremont, California.  

Summary:

We are looking for a dynamic and experienced Senior Director of Advanced Technologies to lead a team in scoping, evaluating, and implementing cutting-edge advancements in sequencing, sample preparation and new assay creation. This role will drive innovation in our proprietary technologies, enhancing performance and expanding capabilities. Your contributions will play a key role in shaping the next generation of genomics-based precision medicine products, supporting immuno-oncology, cancer clinical trials, diagnostics, and therapeutics used by pharma, biotech, hospitals, and clinicians.

Responsibilities:

  • Develop and execute the advanced technology strategy, ensuring alignment with company objectives and long-term vision.
  • Lead efforts to evaluate and integrate new technologies that expand and improve Personalis products.
  • Participate in forward-looking strategic planning and influence company-wide technology adoption.
  • Identify new initiatives and build consensus across various stakeholder groups with clear success measures.
  • Work closely with bioinformatics teams to design experiments and validate new procedures and analytics.
  • Partner with the operations teams to ensure the smooth adoption of new technologies.
  • Collaborate across functions to troubleshoot issues and implement solutions that drive efficiency.
  • Influence company policy and strategy by partnering executive leadership.
  • Recruit, mentor, and manage a high-performing team of scientists to drive innovation and operational excellence.
  • Foster a culture of continuous learning, inclusion, and professional growth for all team members.
  • Ensure accountability for results and provide strategic focus to support both short- and long-term organizational success.
  • Demonstrate strong leadership, communication, and influence across all levels of the organization.
  • Model and promote Personalis values, fostering collaboration and valuing diversity.
  • Drive continuous innovation by encouraging the team to identify process efficiencies and new solutions.
  • Support compliance with all department and company policies, ensuring regulatory and quality adherence.
  • Work cooperatively across functions to achieve broader company objectives and business success.

Education & Experience:

  • Ph.D in a related field with 10+ years of relevant experience, preferably in molecular biology.
  • Minimum of 5 years of management experience, with a proven ability to set a clear vision, establish expectations, and motivate teams to achieve results.
  • Demonstrated success in driving performance, achieving objectives, and leading teams to meet departmental goals.
  • Strong communication, presentation, and influencing skills, with the ability to effectively engage and gain support from senior leadership.
  • Expertise in strategic thinking, decision-making, and negotiation, ensuring smooth daily business operations.

The hiring range for this position is $240,000 to $285,000 per year, which may factor in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. Our full-time regular positions also include an annual performance-based bonus (or a sales incentive plan) and long-term incentive units (equity) provided as part of our compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the level and position offered.  

Personalis is an equal opportunity employer and is committed to the full inclusion of all individuals. As part of this commitment, Personalis will ensure that persons with disabilities are provided with reasonable accommodations. If you need an accommodation to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please let your recruiter know, if/when they contacts you.  

Protecting Our Candidates: At Personalis, we value your security. Please note that all official correspondence from our team will come exclusively from @personalis.com email addresses. We will never ask for personal financial information or conduct interviews over text or chat platforms. If you receive a suspicious request, it is likely a scam. We are committed to a safe recruitment experience and actively work with authorities to investigate and prosecute cyber crimes targeting our community.

Personalis is an Equal Opportunity Employer/Minorities/Females/Veterans/Disabilities. Personalis offers a competitive compensation package and benefits including medical, dental, vision, 401(k) match, ESPP, tuition reimbursement, sick/vacation time, commuter benefits/ EV charging stations, onsite gym, and wellness benefits. (For US only, benefits in other countries may vary.)  

#LI-KK1 #LI-Onsite

Profluent
Permanent
May 11, 2026

Senior Software Engineer, Data Platform

$170,000 — $220,000
Emeryville, California, United States
Onsite

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

We’re looking for a Senior Software Engineer to help design, build, and scale Profluent’s data platform. This platform houses data from protein engineering campaigns, including protein designs, experimental results, partner datasets, analytical outputs, and model-ready training data. It enables rapid machine learning, biological discovery, and secure collaboration across internal and external programs.

This role is ideal for an engineer who enjoys building robust data systems: secure ingestion pipelines, well-structured warehouses, reliable data models, access controls, auditability, and infrastructure that makes complex scientific data usable at scale. You will work closely with ML, bioinformatics, and program teams to ensure Profluent’s data is organized, governed, accessible, and protected.

Responsibilities

  • Design, build, and maintain scalable data infrastructure for protein engineering campaigns, including ingestion, transformation, validation, storage, and retrieval of large scientific datasets.
  • Develop secure data pipelines for internal and partner-generated data, with strong attention to access control, data siloing, provenance, auditability, and compliance with data use restrictions.
  • Own core components of Profluent’s data warehouse and data platform, using Python, GCP, PostgreSQL, BigQuery, and related cloud-native technologies.
  • Build systems that transform raw experimental, computational, and partner data into structured, reliable, analysis-ready and model-ready datasets.
  • Establish best practices for data modeling, metadata management, data quality checks, schema evolution, versioning, and documentation.
  • Collaborate with ML engineers, computational biologists, data scientists, and program stakeholders to understand data requirements and translate them into scalable technical systems.
  • Improve engineering quality through thoughtful system design, code review, testing, CI/CD, observability, and maintainable development workflows.
  • Contribute to architectural decisions for how Profluent stores, secures, organizes, and uses data across programs and partnerships.

Qualifications

  • 5+ years of software engineering, data engineering, or data platform experience.
  • Strong proficiency in Python and modern software development practices, including git, testing, code review, CI/CD, and production deployment.
  • Experience designing and operating production data pipelines, data warehouses, and data models at scale.
  • Hands-on experience with cloud platforms, preferably GCP, and technologies such as BigQuery, PostgreSQL, object storage, workflow orchestration, and containerized services.
  • Strong understanding of data security, access control, data partitioning or siloing, audit logging, and managing sensitive or restricted datasets.
  • Experience working with complex, heterogeneous datasets and building systems that make them reliable, discoverable, and usable.
  • Ability to work independently, make sound technical decisions, and drive projects from ambiguous requirements to production systems.
  • BS, MS, or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or a related technical field, or equivalent practical experience.

Preferences (but not required)

  • Experience with scientific, biological, clinical, genomic, laboratory, or high-throughput experimental data.
  • Experience managing external partner, customer, or restricted-access datasets.
  • Familiarity with data governance, lineage, metadata systems, schema registries, or data catalogs.
  • Experience with research data systems, LIMS, ELNs, Benchling, or adjacent scientific platforms.
  • Background working with ML, data science, computational biology, or cross-disciplinary technical teams.
  • Interest in learning biology, gene editing, protein design, or machine learning concepts.

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design.
  • Competitive compensation package with equity participation.
  • Hiring Salary Range: $170,000 — $220,000 USD.
  • 401(k) with a strong employer match.
  • Comprehensive benefits including health/dental/vision insurance.
  • Generous PTO policy and commitment to work-life balance.
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology.

Work Authorization RequirementApplicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Employment Eligibility VerificationLegal authorization to work in the United States is required. In compliance with federal law, all persons hired must verify their identity and work eligibility and complete the required employment verification form upon hire.

GenBio AI
Internship
May 11, 2026

Research Scientist Intern

N/A
Paris, France
Onsite

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

  • You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

Qualification:

  • M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
  • Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
  • Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
  • Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
  • Familiarity with software engineering best practices (version control, documentation, etc).

Nice to Have:

  • 3 year PhD student and above.
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
  • Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Hands-on experience working at the intersection of AI and Biology.
  • Experience in large-scale distributed training and inference.
  • Open-source contributions, especially if used by others.

Grail
Permanent
May 11, 2026

Senior Data Scientist # 4630

$156K - $187K
Menlo Park, CA
Hybrid

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

GRAIL is seeking a Senior Data Scientist to join the Machine Learning team within the Computational Biology and Machine Learning (CBML) group. In this role, you will work at the intersection of machine learning, genomics, and clinical science to advance early cancer detection. You will collaborate closely with scientists, engineers, and clinicians to identify novel biological signals, improve classification performance, and develop innovative approaches for cancer detection and categorization using GRAIL’s rich sequencing datasets.

This is a highly impactful role where you will apply state-of-the-art machine learning techniques—including modern AI approaches—to real-world clinical challenges. Your work will directly contribute to scientific discoveries, peer-reviewed publications, and the development of transformative products for early cancer detection.

This is a hybrid role based in Menlo Park, CA (moving to Sunnyvale, CA in Fall 2026). Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site.

Responsibilities:

  • Envision, design, and lead projects to evaluate and improve machine learning classifier performance for cancer detection
  • Collaborate cross-functionally with scientists, engineers, and clinicians to plan, execute, and interpret experiments
  • Develop high-quality, reproducible, and scalable software aligned with sound engineering principles
  • Apply best practices in machine learning and statistics to generate robust, interpretable, and reliable results
  • Analyze large-scale sequencing and genomics datasets to extract meaningful biological insights
  • Contribute to the development and evaluation of novel machine learning methods, including deep learning approaches
  • Communicate findings and present updates regularly in technical and cross-functional forums
  • Contribute to scientific publications, internal tools, and production systems

These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion.

Required Qualifications

Required Qualifications

  • Ph.D. in Bioinformatics, Computational Biology, Computer Science, Statistics, Machine Learning, or a related field with 2+ years of relevant experience, OR
    M.S. with 4+ years of relevant experience, OR
    B.S. with 6+ years of relevant experience, or equivalent practical experience
  • 2+ years of experience applying machine learning or statistical modeling in a research or production environment
  • Strong expertise in data analysis using Python or R
  • Deep understanding of modern machine learning and statistical methods
  • Experience developing reproducible, well-structured code in a collaborative environment
  • Strong written and verbal communication skills

Preferred Qualifications:

  • Experience with modern AI techniques, including deep learning and/or large language model (LLM) training or adaptation
  • Experience working with sequencing or genomics data and deriving biological insights
  • Track record of scientific contributions (e.g., publications, tools, datasets, patents, or conference presentations)
  • Experience with system-level programming languages (e.g., Go, Java, C, C++)
  • Familiarity with version control (e.g., Git) and reproducible research practices in Linux environments
  • Demonstrated ability to independently drive projects while collaborating effectively across teams
  • Interest in translating research innovations into production-ready systems

The expected, full-time, annual base pay scale for this position is 156K - $187K.  Actual base pay will consider skills, experience, and location.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Grail
Permanent
May 11, 2026

Senior Scientist, Biostatistics #4792

$156K-$187K
Menlo Park, CA
Hybrid

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care.

We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges.

GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies.

For more information, please visit grail.com

The Senior Statistical Scientist provides advanced statistical expertise to support research, development, and operational activities across the company. This role involves designing studies, developing analytical strategies, interpreting complex data, and ensuring the scientific rigor of statistical, computational and analytical deliverables. The successful candidate will collaborate cross functionally with lab scientists, data engineers, platform engineers, computational biologists to translate data into meaningful insights that drive evidence-based decisions.

This role is based in Menlo Park, California, and will move to Sunnyvale, California in Fall 2026. It offers a flexible work arrangement, with the ability to work from GRAIL's office or from home. Our current flexible work arrangement policy requires that a minimum of 40%, or 16 hours, of your total work week be on-site. Your specific schedule, determined in collaboration with your manager, will align with team and business needs and could exceed the 40% requirement for the site. At our Menlo Park campus, Tuesdays and Thursdays are the key days where we encourage on-site presence to engage in events and on-site activities.

Responsibilities

  • Lead the statistical design, analysis, and interpretation of experiments and studies supporting assay development, validation, and product performance evaluation.
  • Develop and implement computational and statistical models, data analysis algorithms, and quantitative tools to support research, development, and operational projects. Conduct and communicate complex statistical analyses using appropriate methodologies such as regression, mixed models, nonparametric tests, multivariate methods, and subsampling techniques.
  • Partner with assay scientists and data engineers to ensure appropriate experimental design and data integrity. Provide statistical input into study protocols, reports, and regulatory submission documents.
  • Contribute to the development of best practices and standard operating procedures for statistical analyses. Mentor junior scientists and review statistical work to ensure technical accuracy and scientific soundness. Stay current with emerging statistical methodologies, regulatory expectations, and data science innovations.
  • Demonstrates success in technical proficiency, creativity, collaboration with others and independent thought. Demonstrates ability to work and communicate effectively in a multi-disciplinary study team

Required Qualifications

  • Advanced degree (PhD or Master’s) in Statistics, Biostatistics, Bioinformatics, Applied Mathematics, or a related quantitative field.
  • 4+ years of post-PhD or 7+ years of post-MS applying statistical and computational methods, preferably in biotechnology, pharmaceuticals, or diagnostics settings.
  • Strong knowledge of statistical methodologies such as experimental design, regression, fundamental probability and statistics, Bayesian methods, and multivariate techniques.
  • Proficiency in statistical programming R. Python is a plus.
  • Experience with data visualization tools.
  • Excellent communication skills with the ability to translate complex statistical concepts for non-technical stakeholders.
  • Proven ability to lead projects independently. Strong problem-solving skills, attention to detail, and ability to manage multiple projects simultaneously.
  • Experience with assay development, assay performance evaluation, or regulatory submissions is a plus.

The expected, full-time, annual base pay scale for this position is $156K-$187K.

This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs.

GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at rc@grailbio.com if you require an accommodation to apply for an open position.

GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Element Biosciences
Permanent
May 7, 2026

Sr Engineer II, Machine Learning

$139,500 – $183,500
San Diego, CA
Onsite

At Element Biosciences, we are passionate about our mission to empower the scientific community with more freedom and flexibility to accelerate our collective impact on humanity. We have built a highly efficient product-driven organization where employees can learn, grow, and thrive in a challenging but encouraging environment. We are committed to scientific integrity, collegiality, honesty, objectivity, and openness.

We are seeking a highly skilled and motivated Senior Engineer II, Machine Learning to join our dynamic team. The ideal candidate will have experience in data science and machine learning, with a background in working with multiomic and single-cell data and/or image processing and computer vision. This role involves creating, exploring, and analyzing models, as well as applying advanced image processing techniques to drive our research and development efforts and contribute to critical programs. This role will report to Vice President, AI and will be an onsite role at our headquarters in San Diego.

If you possess the following and want to make a meaningful impact, we invite you to explore this role.

Essential Functions and Responsibilities:

  • Analyze and interpret multiomic and single-cell data to derive meaningful insights
  • Develop and implement machine learning models to support various research projects
  • Apply advanced image processing techniques to analyze biological images
  • Collaborate with cross-functional teams to design and execute experiments
  • Explore and analyze large datasets to identify patterns and trends
  • Communicate findings and insights to stakeholders through reports and presentations
  • Stay updated with the latest advancements in data science, machine learning, and biotechnology

Education and Experience:

  • Master's degree in Data Science, Bioinformatics, Computational Biology, or a related field with 5-7 years of relevant experience, or PhD with 0-3 years of experience
  • Expertise in data science and machine learning techniques is a plus
  • Proficiency in working with multiomic and single-cell data is a plus
  • Experience with advanced image processing techniques is a plus
  • Strong background in statistics is a plus
  • Proficiency in common data science tools and programming languages such as Python, PyTorch, Scikit-learn, Pandas and other relevant tools
  • Experience with cloud computing platforms (e.g., AWS)
  • Familiarity with bioinformatics tools and databases
  • Knowledge of experimental design and statistical analysis
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills

Physical Requirements:

  • Frequently moves boxes weighing up to 20 pounds

Location:

  • San Diego – on-site

Travel:

  • Domestic travel up to 10%

Job Type:

  • Full-time/Exempt

Base Compensation Pay Range:

  • $139,500 - $183,500

In addition to base compensation noted above, you will be eligible for stock options, discretionary annual bonus, no cost health insurance plans, 401k with company match, and flexible paid time off.

Please note: Base compensation will depend on multiple factors, including geographic location, qualifications, and experience.

We foster an environment such that all people are afforded the freedom to pursue their passions without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.

10x Genomics
Permanent
May 7, 2026

Clinical Laboratory Scientist, (Technical Supervisor)

$158,400 – $214,400
Pleasanton, California
Onsite

About The Role:

10x Genomics is establishing a diagnostics effort to translate our leading single-cell and spatial genomics technologies into impactful clinical applications. This Clinical Laboratory Scientist/Technical Supervisor position performs and provides scientific and technical oversight for high complexity next-generation sequencing (NGS) assays within a CLIA-certified laboratory. This role is accountable for ensuring the operational execution, analytical validity, performance, and regulatory compliance of all NGS testing. The Technical Supervisor serves as the subject matter expert for assay validation, quality systems, and troubleshooting, and partners closely with laboratory leadership to maintain operational excellence and continuous improvement.

What You Will Be Doing:

  • Provide operational execution and technical oversight of high complexity NGS assays, ensuring analytical accuracy and reliability of test results.
  • Validate, and implement NGS assays in accordance with CLIA, CAP, and applicable regulatory standards.
  • Establish and monitor quality control (QC) and quality assurance (QA) programs, including review of performance metrics, trends, and corrective actions.
  • Author, review, and approve technical documentation, including standard operating procedures (SOPs), validation protocols/reports, and test methods.
  • Ensure compliance with all regulatory requirements and support internal and external audits and inspections.
  • Serve as the primary technical resource for troubleshooting complex assay, instrumentation, and bioinformatics issues.
  • Evaluate and approve changes to assays, workflows, instrumentation, and software, including revalidation as required.
  • Oversee proficiency testing, method comparisons, and ongoing assay performance monitoring.
  • Provide technical training and competency assessment for laboratory personnel.
  • Collaborate with cross-functional teams (bioinformatics, R&D, quality, and operations) to support assay optimization and innovation.
  • Stay current with emerging technologies, regulatory updates, and best practices in NGS and molecular diagnostics.

To Be Successful in this Role, You Will Need:

  • Active California Clinical Laboratory Scientist (CLS) license meeting CLIA requirements for Technical Supervisor of high complexity testing.
  • Meets CLIA Technical Supervisor qualifications under 42 CFR 493.1449, including appropriate education, training, and experience
  • Bachelor’s degree in chemical, biological, physical, clinical laboratory science, or a related field.
  • Minimum of 4–6 years of experience in CLIA lab molecular diagnostics, with significant experience in NGS assay validation, implementation, and operation
  • Demonstrated expertise and experience in NGS technologies, including library preparation, sequencing platforms, and bioinformatics analysis pipelines
  • Strong knowledge of CLIA, CAP, NYS, and other regulatory frameworks governing high complexity testing.
  • Proven experience with assay validation, QC/QA systems, and regulatory inspections.

Additional attributes

  • Prior experience serving as CLIA Technical Supervisor
  • Startup or high growth laboratory experience
  • Background in medical or oncology diagnostics
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong written and verbal communication skills, with the ability to convey complex technical concepts clearly.

Pay Range$158,400 — $214,400 USD

Below is the base pay range for this full-time position.  The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience.  At 10x, base pay is also just one component of the Company’s total compensation package.  This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed.  We will never request payment or sensitive personal information during the recruiting process.

10x Genomics
Permanent
May 7, 2026

Clinical Laboratory Scientist, (General Supervisor)

$139,700 – $188,900
Pleasanton, California
Onsite

About The Role:

10x Genomics is establishing a diagnostics effort to translate our leading single-cell and spatial genomics technologies into impactful clinical applications. This Clinical Laboratory Scientist/General Supervisor position is responsible for the day-to-day execution and oversight of high complexity next-generation sequencing (NGS) testing within a CLIA-certified laboratory. This role ensures the accuracy, reliability, and timeliness of test results while maintaining full compliance with regulatory and quality standards. The General Supervisor provides technical leadership, staff supervision, and operational support to ensure efficient laboratory performance.

What You Will Be Doing:

  • Perform and oversee daily laboratory operations for high complexity NGS assays, ensuring adherence to established protocols and quality standards.
  • Supervise and provide guidance to laboratory personnel, including training, competency assessment, and performance management.
  • Ensure the accuracy and validity of test results through review of quality control, quality assurance, and assay performance metrics.
  • Maintain compliance with CLIA, CAP, and other applicable regulatory requirements.
  • Assist in the development, validation, implementation, and optimization of NGS assays and workflows.
  • Monitor laboratory workflow, turnaround times, and resource utilization to ensure operational efficiency.
  • Troubleshoot technical issues related to instrumentation, assays, and data analysis.
  • Review and maintain laboratory documentation, including SOPs, validation reports, and quality records.
  • Collaborate with laboratory leadership to support continuous quality improvement initiatives.
  • Ensure proper maintenance and calibration of laboratory equipment.

To Be Successful in the Role, You Will Need:

  • Active California Clinical Laboratory Scientist (CLS) license (or CGMBS/generalist license) meeting CLIA requirements for high-complexity testing
  • Bachelor’s degree in chemical, biological, physical, clinical laboratory science, or a related field
  • Meets CLIA General Supervisor qualifications under 42 CFR 493.1461, including appropriate education, training, and experience
  • Minimum of 2–4 years of experience in high complexity CLIA testing, with demonstrated expertise and experience in NGS technologies.Prior supervisory or leadership experience preferred.
  • Strong knowledge of CLIA regulations and quality systems.
  • Experience with NGS platforms, library preparation, sequencing, and bioinformatics pipelines.

Additional Attributes

  • Prior experience serving as CLIA General Supervisor
  • Startup or high growth laboratory experience
  • Background in medical or oncology diagnostics
  • Excellent organizational, analytical, and problem-solving skills.
  • Strong communication and leadership abilities.

Pay Range$139,700—$188,900 USD

Below is the base pay range for this full-time position. The actual base pay will depend on several factors unique to each candidate, including one’s skills, qualifications, and experience. At 10x, base pay is also just one component of the Company’s total compensation package. This role is also eligible for 10x’s equity grants, its comprehensive health and retirement benefit programs, and its annual bonus program or sales incentive program. During the hiring process, your 10x recruiter can share more about the Company’s total compensation package.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us. It is a commitment. This is the century of biology, and the breakthroughs we make now have the potential to change the world.

We enable scientists to advance their research, allowing them to address scientific questions they did not even know they could ask. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience.

Our teams are empowered and encouraged to follow their passions, pursue new ideas, and perform at their best in an inclusive and dynamic environment. We know that behind every scientific breakthrough, there is a deep infrastructure of talented people driving the life sciences industry and making it possible for scientists and clinicians to make new strides. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future. Find out how you can make a 10x difference.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

10x does not accept unsolicited applicants submitted by third-party recruiters or agencies. Any resume or application submitted to 10x without a vendor agreement in place will be considered unsolicited and property of 10x, and 10x will not pay a placement fee.

Please be aware of recruitment scams impersonating 10x Genomics. All recruiting communication will come from email addresses @10xgenomics.com. We also want to encourage you to apply to 10x Genomics positions directly on our careers site, Careers.10xgenomics.com or from reputable third party sites, such as LinkedIn or Indeed. We will never request payment or sensitive personal information during the recruiting process.

BillionToOne
12 Months
April 27, 2026

Clinical Genomics Scientist, Oncology (Part-Time Contractor)

$100/HR
Remote
Remote

Clinical Genomics Scientist, Oncology – BillionToOne

Role Overview

BillionToOne is seeking a Clinical Genomics Scientist to support the Clinical Genomics team in day-to-day commercial reporting operations, specifically focusing on variant interpretation and report drafting. This is a part-time, remote-based contracting position (10–20 hours/week) requiring a commitment of at least one year.

Key Logistics

Position Type - Part-time Contracting

Commitment - 10–20 hours/week (Minimum 1-year engagement)

Location - Remote

Availability - Must be able to work Saturday and/or Sunday

Rate - $100/hour

Responsibilities

  • Somatic Variant Interpretation: Perform somatic-based variant interpretation by reviewing literature and databases to classify variants and match treatments. Perform verifications using BAM file analysis.
  • Clinical Report Drafting: Draft reports using an in-house reporting API, working in coordination with engineering, QA, and laboratory directors.
  • Content Curation: Contribute to the curation of gene-level content, such as domain and critical residue curation.
  • R&D Collaboration: Work with the R&D team on somatic oncology projects, providing expertise on biological pathways, mechanisms, and variant-level analyses.

Qualifications

  • Education: Ph.D. in Human Genetics, M.S. in Genetic Counseling, or a related field.
  • Experience: 2+ years of experience in somatic variant interpretation based on ACMG/AMP guidelines (or 1+ years of germline and 1+ years of somatic experience).
  • Technical Skills: * Hands-on experience with mutation databases (COSMIC, ClinVar, OncoKB), annotation sources (dbSNP), and genome browsers (UCSC).
    • Familiarity with IGV and BAM file analysis.
    • Willingness to learn basic bioinformatics tools and apply technically-minded insights.
  • Domain Knowledge: Understanding of cancer somatic mutations and signaling pathways (e.g., FDA-approved drugs, clinical trials, and "hot targets").
  • Attributes: Exceptional attention to detail for following SOPs and strong organizational skills for managing reporting projects.

About BillionToOne

BillionToOne is a next-generation molecular diagnostics company on a mission to make accurate diagnostic tests accessible to everyone. Their revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA.

  • Impact:
    • Unity Complete™: The only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single sample.
    • Northstar®: A liquid biopsy test combining treatment selection with real-time monitoring for oncology.
  • Growth: Scaled from $0 to over $150M in Annual Recurring Revenue in five years; completed a successful IPO in 2025.
  • Recognition: Named one of America's Best Startup Employers for 2025 by Forbes and Great Place to Work certified.
  • Future: Headquartered in Menlo Park, with facilities in Union City, CA, and a new lab opening in Austin, TX, in 2027.

BillionToOne
Permanent
April 27, 2026

Bioinformatics Associate, Oncology

$85,331 – $96,050
Menlo Park, CA
Onsite

Bioinformatics Associate, Oncology – BillionToOne

Role Overview

BillionToOne is seeking a Bioinformatics Associate to join their growing bioinformatics team in Menlo Park, CA. In this full-time, on-site role, you will work with a talented team to scale analysis pipelines for the Northstar oncology product line to handle high-volume clinical sample throughput. You will report to the Sr. Manager of Bioinformatics, Oncology.

Responsibilities

  • Data Analysis: Perform clinical bioinformatics data analysis while maintaining low turnaround times for data delivery.
  • Pipeline Development: Maintain and develop sophisticated, robust next-generation sequencing (NGS) analysis pipelines.
  • Cross-Functional Collaboration: Partner with the CLIA lab, Software Engineering, Quality Assurance, and R&D teams to improve and scale clinical workflows.

Qualifications

  • Education: BS or MS in Bioinformatics, Computational Biology, Computer Science, Bioengineering, Physics, or a related field.
  • Programming: Very strong programming skills in Python.
  • Environment: Proficiency in UNIX command-line environments.
  • Infrastructure: Experience deploying code in HPC or cloud computing environments.
  • Soft Skills: Excellent communication skills and strong attention to detail.
  • Work Authorization: Must be able to work in the United States without immediate sponsorship (Post-graduation OPT for student visas is acceptable).

Nice-To-Haves

  • 2+ years of research or industry experience in biotechnology.
  • Experience with software development in industry, particularly in regulated environments.
  • Experience with molecular biology lab techniques (DNA purification, PCR, electrophoresis) or NGS library preparation.
  • Experience leading cross-functional projects involving teams from diverse backgrounds.

Compensation

  • Total Compensation Package: $115,655 per year.
  • Base Pay Range: $85,331 – $96,050 per year.
  • Includes generous equity options and a corporate bonus program.

Benefits and Perks

  • Healthcare: Multiple medical benefit options; 100% of employee premiums paid on select plans (dependents covered up to 80%).
  • Family: 16 weeks of 100% paid Family Bonding Leave; supplemental fertility benefits.
  • Employee Perks: Free UNITY Complete NIPT testing for employees and spouses.
  • Retirement: Savings program with a 4% company match.
  • Work-Life: Paid time off that increases with tenure.
  • On-Site Amenities: Free daily lunches from top eateries, access to a state-of-the-art gym, and free EV charging.
  • Equipment: Latest hardware (laptops, lab equipment, and facilities).

About BillionToOne

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Their revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA.

  • Impact: * Unity Complete™: The only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single maternal blood sample.
    • Northstar®: A liquid biopsy test combining treatment selection with real-time monitoring for oncology.
  • Growth & Recognition: Forbes named BillionToOne one of America's Best Startup Employers for 2025, and the company is Great Place to Work certified. They have successfully scaled to over 700 employees, with a major new lab opening in Austin, TX, in 2027.

BillionToOne
Permanent
April 27, 2026

Senior Scientist

$139,340 – $160,777
Menlo Park, CA
Onsite

Senior Scientist, Real-World Evidence, Oncology – BillionToOne

About the Role

BillionToOne is seeking a Senior Scientist, Real-World Evidence (RWE), to join their team and unlock insights from a rapidly growing dataset of genomic profiles and real-world clinical data. This role sits at the intersection of AI, genomics, oncology research, and clinical data science. You will develop models and analytical approaches that transform genomic and clinical data into actionable insights for research, clinical decision support, and data-driven products.

A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, which combines genomic sequencing results from their Northstar oncology platform with real-world medical records. You will report to the Chief Product Officer.

Responsibilities

  • RWE Generation: Leverage integrated datasets of Northstar genomic sequencing results and real-world clinical data to generate clinically meaningful insights and real-world evidence (RWE).
  • AI/ML Development: Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes to support internal research and improve how genomic test results inform clinical decision-making.
  • Clinical Utility Tools: Build AI-powered tools that enhance the clinical utility of diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists with personalized treatment decisions.

Qualifications & Experience

  • Education: PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field.
  • Domain Expertise: Deep understanding of genomic data, oncology biology, and clinical medical data.
  • Technical Skills: Strong programming and data science skills (Python and modern ML frameworks); ability to analyze and integrate multimodal biomedical datasets (genomics, clinical data, literature).
  • AI/ML: Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
  • Data Experience: Experience working with real-world clinical datasets (EHR, clinical records, registries, etc.).
  • Collaboration: Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.
  • Specialized Experience:
    • Experience working with oncology real-world datasets.
    • Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
    • Experience integrating genomic sequencing data with clinical outcomes data.
    • Track record of research publications or applied AI systems in healthcare or life sciences.

Compensation

  • Total Compensation Package: $251,855 per year.
  • Base Pay Range: $139,340 – $160,777 per year.
  • Note: Includes generous equity options and a corporate bonus program.

Benefits And Perks

  • Healthcare: Multiple medical benefit options; employee premiums paid 100% on select plans, dependents covered at 80%.
  • Family: Extremely generous Family Bonding Leave (16 weeks, 100% paid).
  • Retirement: Savings program including a 4% company match.
  • Work Environment: Open, transparent culture with weekly Town Hall meetings.
  • On-Site Perks: Daily catered lunches, access to a state-of-the-art gym, and free EV charging.
  • Equipment: Latest hardware (laptop, lab equipment, facilities).

About BillionToOne

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Their revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA.

  • Impact: * Unity Complete™: The only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single sample.
    • Northstar®: A liquid biopsy test combining treatment selection with real-time monitoring for oncology.
  • Growth: Scaled from $0 to over $150M in Annual Recurring Revenue in five years. Completed one of the most successful IPOs for a medical diagnostics company in 2025.
  • Recognition: Forbes named BillionToOne one of America's Best Startup Employers for 2025, and the company is Great Place to Work certified.
  • Future: Headquartered in Menlo Park, with facilities in Union City, CA, and a new lab opening in Austin, TX, in 2027.

BillionToOne
Permanent
April 27, 2026

Senior Scientist, Oncology

$139,340 – $160,777
Menlo Park, CA
Onsite

Senior Scientist, Real-World Evidence, Oncology – BillionToOne

Role Overview

BillionToOne is seeking a Senior Scientist, Real-World Evidence (RWE), to join their team and unlock insights from a rapidly growing dataset of genomic profiles and real-world clinical data. This role sits at the intersection of AI, genomics, oncology research, and clinical data science. You will develop models and analytical approaches to transform genomic and clinical data into actionable insights for research, clinical decision support, and data-driven products.

A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, which combines genomic sequencing results from their Northstar oncology platform with real-world medical records. You will report to the Chief Product Officer.

Responsibilities

  • RWE Generation: Leverage integrated datasets of Northstar genomic sequencing results and real-world clinical data to generate clinically meaningful insights and real-world evidence (RWE).
  • AI/ML Development: Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes to support internal research and improve how genomic test results inform clinical decision-making.
  • Clinical Utility Tools: Build AI-powered tools that enhance the clinical utility of diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists with personalized treatment decisions.

Qualifications

  • Education: PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field.
  • Domain Expertise: Deep understanding of genomic data, oncology biology, and clinical medical data.
  • Technical Skills: Strong programming and data science skills (Python and modern ML frameworks); ability to analyze and integrate multimodal biomedical datasets (genomics, clinical data, literature).
  • AI/ML: Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
  • Data Experience: Experience working with real-world clinical datasets (EHR, clinical records, registries, etc.).
  • Collaboration: Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.

Experience

  • Experience working with oncology real-world datasets.
  • Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
  • Experience integrating genomic sequencing data with clinical outcomes data.
  • Track record of research publications or applied AI systems in healthcare or life sciences.

Compensation

  • Total Compensation Package: $251,855 per year.
  • Base Pay Range: $139,340 – $160,777 per year.
  • Note: Includes generous equity options and a corporate bonus program.

Benefits And Perks

  • Healthcare: Multiple medical benefit options; employee premiums paid 100% on select plans, dependents covered at 80%.
  • Family: Extremely generous Family Bonding Leave (16 weeks, 100% paid).
  • Retirement: Savings program including a 4% company match.
  • Work Environment: Open, transparent culture with weekly Town Hall meetings.
  • On-Site Perks: Daily catered lunches, access to a state-of-the-art gym, and free EV charging.
  • Equipment: Latest hardware (laptop, lab equipment, facilities).

About BillionToOne

BillionToOne is a next-generation molecular diagnostics company on a mission to make powerful, accurate diagnostic tests accessible to everyone. Their revolutionary QCT molecular counting technology enhances disease detection resolution by over a thousandfold using cell-free DNA.

  • Impact: * Unity Complete™: The only non-invasive prenatal screen capable of assessing fetal risk for both common recessive conditions and aneuploidies from a single sample.
    • Northstar®: A liquid biopsy test combining treatment selection with real-time monitoring for oncology.
  • Growth: Scaled from $0 to over $150M in Annual Recurring Revenue in five years. Completed one of the most successful IPOs for a medical diagnostics company in 2025.
  • Recognition: Forbes named BillionToOne one of America's Best Startup Employers for 2025, and the company is Great Place to Work certified.
  • Future: Headquartered in Menlo Park, with facilities in Union City, CA, and a new lab opening in Austin, TX, in 2027.

Profluent
Internship
April 27, 2026

Research Intern, Computational

$1,667 per week
Emeryville, California
Remote

ABOUT PROFLUENT

Profluent is an AI-first protein design company. Founded in 2022, we develop deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. Based in Emeryville, CA, we are backed by leading investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

POSITION SUMMARY:

Our generative models learn the blueprint of life by modeling large-scale evolutionary data, enabling us to engineer and write biology in unprecedented ways. We are seeking a passionate Computational Research Intern to join moonshot projects at the intersection of bioinformatics and machine learning. This is a rare opportunity to tackle open-ended scientific and engineering challenges with direct potential for high-impact publications and real-world applications in synthetic biology and protein engineering.

RESPONSIBILITIES:

  • Design and implement computational approaches to advance cutting-edge research in bioinformatics and machine learning.
  • Analyze large-scale genomic and protein datasets to uncover new biological insights and capabilities.
  • Collaborate closely with scientists and engineers across machine learning, protein engineering, and biology teams.
  • Document and present research findings internally, with the potential to publish in leading journals and conferences.

QUALIFICATIONS:

  • Enrolled in a BS, MS, or PhD program in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
  • Strong programming skills in Python and familiarity with scientific computing libraries (e.g., NumPy, pandas, Jupyter).
  • Experience in one or more of the following: machine learning, large-scale data analysis, genomics, or protein bioinformatics.
  • Excellent problem-solving skills, scientific curiosity, and ability to work both independently and collaboratively.

INTERNSHIP DETAILS:

  • Typical duration: 12 weeks, with flexible start dates.
  • Hybrid: 2 - 3 days on-site per week in our Emeryville, CA headquarters.
  • Salary: $1,667 per week.
  • Opportunity to publish your work and make a lasting impact in computational biology and AI-driven protein design.

WHAT WE OFFER:

  • Work on moonshot projects at the frontier of AI and biology.
  • Mentorship from leading experts in bioinformatics, machine learning, and synthetic biology.
  • A dynamic, mission-driven environment with the resources of a fast-growing, well-funded startup.
  • Competitive internship compensation and benefits.

Profluent
Permanent
April 27, 2026

Machine Learning Scientist

$180,000 – $250,000
Emeryville, California
Hybrid

Machine Learning (ML) Scientist – Profluent

Profluent is an AI-first protein design company founded in 2022. Based in Emeryville, CA, the company develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. They have raised over $150M to date from investors including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures.

Position Summary

Profluent is seeking a motivated and creative Machine Learning (ML) Scientist to drive research into new technologies for biomolecular design. This role offers an opportunity to work at the forefront of generative modeling research, spanning language processing, representation learning, and protein engineering. As an early employee, you will proactively shape the direction of the company's machine learning efforts and collaborate across diverse teams of computational and experimental scientists.

Responsibilities

  • Research & Development: Design and develop state-of-the-art deep learning methods for protein sequence, structure, and function prediction, and apply them to protein design.
  • Evaluation: Curate relevant datasets and design tasks for the rigorous evaluation of generative models.
  • Collaboration: Partner with the Biology team to design and characterize novel biomolecules.
  • Analysis & Presentation: Implement, analyze, and interpret multiple computational approaches and present results to colleagues in regular update meetings.
  • Strategic Input: Work within a fast-paced, interdisciplinary team to help shape the scientific and strategic vision of the company.

Qualifications

  • Education: PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field.
  • Technical Experience: Proven experience conceiving of, implementing, and evaluating novel machine learning techniques.
  • Publication Record: Publications at major machine learning conferences (e.g., NeurIPS, ICML, ICLR) or scientific journals (e.g., Nature, Science, Nature Biotech, Nature Methods, PNAS).
  • Frameworks: Experience with modern deep learning frameworks such as PyTorch or JAX.

Preferences

  • Familiarity with the foundational biology of proteins and nucleic acids.
  • Experience developing machine learning models for proteins (language models, structure prediction, design).
  • Previous experience in data extraction and curation from bioinformatics data sources.
  • Familiarity with wet lab experimental assays and associated limitations.
  • Experience with cloud compute platforms (GCP, AWS, Azure).

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design.
  • Competitive compensation package with equity participation.
  • Comprehensive benefits including health, dental, and vision insurance.
  • Generous PTO policy and commitment to work-life balance.
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology.

Compensation

  • Hiring Salary Range: $180,000 – $250,000 USD.

Profluent Bio, Inc. is an equal opportunity employer. Legal authorization to work in the United States is required.

Profluent
Permanent
April 27, 2026

Lead Bioinformatics Scientist, NGS

$160,000 – $230,000
Emeryville, California
Hybrid

Computational Scientist (NGS Analysis) – Profluent

Profluent is an AI-first protein design company founded in 2022. Based in Emeryville, CA, the company develops deep generative models to design and validate novel, functional proteins to revolutionize biomedicine. They are backed by leading investors, including Altimeter Capital, Bezos Expeditions, Spark Capital, Insight Partners, Air Street Capital, AIX Ventures, and Convergent Ventures, and have raised over $150M to date.

Position Summary

We are seeking an experienced computational scientist to lead the design, development, and operation of the NGS analysis platform that powers Profluent’s gene editing and protein design programs. This role sits at the intersection of computational biology, software engineering, and experimental biology to build scalable systems for extracting actionable insights from large-scale sequencing data. You will architect core bioinformatics infrastructure, define analytical strategy, and collaborate closely with experimental and ML teams to accelerate design-build-test-learn cycles. You will also mentor team members, promote software engineering best practices, and help shape the future of Profluent’s computational biology capabilities.

Responsibilities

  • Leadership: Lead the design and implementation of scalable NGS analysis pipelines supporting gene editing and protein engineering workflows.
  • Visualization: Develop clear, intuitive visualizations and reports to communicate sequencing results and biological insights.
  • Infrastructure: Manage cloud-based compute environments and data systems for large-scale datasets.
  • Cross-Functional Collaboration: Partner with biology teams to analyze results, troubleshoot, and optimize experimental design.
  • Data Integration: Collaborate with machine learning teams to curate data for model training.
  • Engineering Standards: Establish best practices for code review, testing, and CI/CD in computational workflows.
  • Mentorship: Mentor junior scientists and foster a culture of rigor, reproducibility, and innovation.

Qualifications

  • Education: PhD or MS in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field.
  • Experience: 5+ years of experience analyzing NGS datasets (e.g., amplicon sequencing, high-throughput editing, or screening experiments).
  • Programming: Strong programming skills in Python (pandas, numpy, biopython, etc.).
  • Orchestration: Expertise with workflow orchestration tools (Nextflow, Snakemake) and cloud environments (GCP, AWS).
  • Infrastructure: Experience with containerization (Docker, Kubernetes) and scalable compute infrastructure.
  • Technical Proficiency: Deep understanding of Linux, git-based version control, and software engineering best practices.
  • Analysis: Proven ability to transform complex sequencing data into actionable biological insights.

Preferences (Not Required)

  • Experience with gene editing technologies (CRISPR, base or prime editing; strongly preferred).
  • Familiarity with SQL and data modeling for biological or experimental data.
  • Experience with LIMS platforms (e.g., Benchling) and lab data integration.
  • Track record of developing production-quality scientific software or open-source bioinformatics tools.

What We Offer

  • High-growth opportunity with meaningful impact on the future of protein design.
  • Competitive compensation package with equity participation.
  • Comprehensive benefits including health, dental, and vision insurance.
  • Generous PTO policy and commitment to work-life balance.
  • Professional development opportunities in a cutting-edge field at the intersection of AI and biology.

Compensation

  • Hiring Salary Range: $160,000 – $230,000 USD.

Profluent Bio, Inc. is an equal opportunity employer. Legal authorization to work in the United States is required. Applicants must have ongoing work authorization in the United States that does not require employer sponsorship. Sponsorship will not be provided now or at any time in the future for this position.

Personalis, Inc
Permanent
April 27, 2026

Sr. Bioinformatics Scientist – Novel Cell Free DNA Applications

$155,000 – $190,000
Fremont, CA
Hybrid

Senior Bioinformatics Scientist – Personalis, Inc.

About PersonalisPersonalis, Inc. is a leader in advanced genomics for precision oncology. NeXT Personal is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence. It leverages whole-genome sequencing of a patient's tumor and matched normal samples to create a personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at very low levels (down to ~1-3 PPM) in blood samples.

Days Onsite: Monday & Tuesday

SummaryThe Senior Bioinformatics Scientist will work with a world-class, dynamic team of bioinformatics scientists, software engineers, and laboratory scientists, developing, testing, and applying cutting-edge cell-free and solid tumor cancer genomics products. You will work closely with clinical evidence generation teams, applying cell-free technology solutions to large cancer patient cohorts and profiling patient response to therapy. This position directly contributes to a new generation of genomics-based precision-medicine products.

Responsibilities

  • Design and develop novel cell-free technologies and products.
  • Collaborate closely with laboratory scientists to design experiments to develop and evaluate novel applications for cell-free DNA assays.
  • Use genomics and statistics to model and improve performance of cell-free assays and features.
  • Synthesize large datasets to develop and evaluate new biological and technological hypotheses.
  • Partner with the clinical evidence generation team to ensure the applicability and evaluate the performance of novel assays or feature improvements.
  • Maintain a strong working knowledge of literature covering technological developments in the cell-free DNA and liquid biopsy space.
  • Publish results and present at conferences in areas including cell-free DNA and cancer genomics.

Requirements

  • Advanced degree (Ph.D.) in bioinformatics, genomics, or a related field.
  • Extensive experience with cancer genomics.
  • Extensive experience with somatic mutational detection and filtering.
  • Experience with cancer liquid biopsy analysis.
  • Proficiency in the application of statistical methods to genomic applications.
  • Proficiency with at least one common programming language (e.g., Python, R).
  • Track record of designing and implementing experimental approaches to confirm and elaborate upon findings from complex projects.
  • Experience publishing and presenting scientific results.

Compensation

  • Hiring Range: $155,000 – $190,000 per year (may vary based on geographic region, internal equity, skills, and experience).
  • Additional Benefits: Annual performance-based bonus (or sales incentive plan), long-term incentive units (equity), medical/financial benefits, 401(k) match, ESPP, tuition reimbursement, commuter benefits/EV charging stations, and onsite gym.

Equal Opportunity Employer: Personalis is an equal opportunity employer committed to the full inclusion of all individuals.

Protecting Our Candidates: Official correspondence comes exclusively from @personalis.com email addresses. Personalis will never ask for personal financial information or conduct interviews over text or chat platforms.

Personalis, Inc
Permanent
April 27, 2026

Sr. Bioinformatics Scientist – cfDNA Technology Development

$155,000 – $190,000
Fremont, CA
Hybrid

Bioinformatics Senior Scientist – Personalis, Inc.

Personalis, Inc. is a leader in advanced genomics for precision oncology. Their NeXT Personal platform is an ultra-sensitive, tumor-informed, WGS-based liquid biopsy assay designed to detect minimal residual disease (MRD) and cancer recurrence. The platform leverages whole-genome sequencing of a patient's tumor and matched normal samples to create a personalized panel of up to 1,800 somatic variants, enabling the detection of circulating tumor DNA (ctDNA) at levels as low as 1–3 PPM.

Work Environment

  • Work Model: Hybrid
  • Onsite Requirements: Monday & Tuesday

Role Summary

As a Bioinformatics Senior Scientist, you will join a team of scientists and engineers to develop, test, and apply cutting-edge cell-free and solid tumor cancer genomics products. You will work alongside clinical evidence generation teams, applying cell-free solutions to large patient cohorts and profiling patient responses to therapy. Your work will directly contribute to the next generation of genomics-based precision-medicine products used by pharma, biotech, and clinicians for therapeutic selection.

Responsibilities

  • Platform Development: Design, develop, and build upon novel cell-free platforms and products, including the NeXT Personal MRD liquid biopsy platform.
  • Cross-Functional Collaboration: Work across teams to translate collaborative findings into actively developed, cutting-edge products.
  • Scientific Execution: Design and execute projects focused on product feature feasibility, demonstrating clinical advantages and performance.
  • Data Analysis: Model and analyze large, complex genomics datasets using novel methods to generate biological insights.
  • Dissemination: Publish results and present at scientific conferences regarding cell-free DNA and cancer genomics.

Requirements

  • Education: Ph.D. in bioinformatics, genomics, or a related field.
  • Domain Expertise: Extensive experience with cancer genomics and cancer liquid biopsy analysis.
  • Technical Skills:
    • Extensive experience with somatic mutational detection and filtering.
    • Proficiency in at least one common programming language (e.g., Python, R).
    • Proficiency in applying statistical methods to genomic applications.
  • Professional Track Record: Proven ability to design and implement experimental approaches to confirm and elaborate upon findings from complex projects, as well as experience publishing and presenting scientific results.

Compensation & Benefits

  • Hiring Salary Range: $155,000 – $190,000 per year.
  • Total Compensation: Includes annual performance-based bonus (or sales incentive plan) and long-term incentive units (equity).
  • Benefits: Full range of medical, dental, vision, and financial benefits, including:
    • 401(k) match
    • ESPP (Employee Stock Purchase Plan)
    • Tuition reimbursement
    • Sick/vacation time
    • Commuter benefits and EV charging stations
    • Onsite gym and wellness benefits

Personalis is an Equal Opportunity Employer committed to the full inclusion of all individuals. Official correspondence from the team comes exclusively from @personalis.com email addresses; the company will never ask for personal financial information or conduct interviews over text or chat platforms.

Retro
Permanent
April 27, 2026

Scientist, Hematopoiesis (iPSCs)

N/A
Redwood City, CA
Onsite

Retro Biosciences

About RetroRetro develops therapies for diseases driven by the biology of aging. We focus on cellular reprogramming and autophagy to broadly improve tissue function by targeting mechanisms of aging with the ultimate aim of adding 10 years to healthy human lifespan.

We’re building a mission-driven team of accomplished and kind individuals who embrace our startup culture of rapid iteration, transparency, and versatility.

We are hiring a new member of the HSC Therapeutics team who will bring deep expertise in hematopoiesis. In this role, you will focus on process optimization and development to help us create scalable differentiation protocols.

About you:You’re eager to learn and approach work with a “can-do” attitude and a hands-on nature. You take pride in working at the highest standard, continuously optimizing research practices for both high speed and accuracy. You value being organized and detail-oriented. Bringing a clear, transparent communication style, you collaborate effectively with specialists of various backgrounds (bench and computational biologist, quality control scientists, operational and logistic specialists). You are adaptable and able to iterate quickly and reprioritize based on a mission > team > self hierarchy. You’re motivated to work on the forefront of science and help us extend healthy lifespan!

In this role you will:

  • Adapt differentiation protocol to large-scale production in bioreactors and optimize banking of final product for clinical use.
  • Optimize differentiation process for reproducible and predictable cell output.
  • Contribute to the full process of producing a high-quality iHSC product out of iPSCs: maintain iPSCs, prepare and change media throughout differentiation, analyze cells using flow cytometry, and formulate iHSCs.
  • Transfer differentiation and formulation protocols to the GMP environment.
  • Assist in processing mouse tissues and performing flow cytometry to characterize cell function.
  • Work collaboratively across Retro teams such as Technical In-Vivo, Computational Biology, Automation, and Quality and Analytics.
  • Be part of a rotational weekend work schedule.

You might thrive in this role if you:

  • Have a Bachelor’s or Master’s degree in Biology or a relevant field and 4+ or 6+ years of relevant experience in industry, respectively, or a Ph.D. in Cell Biology, Molecular Biology, or related discipline.
  • Learn quickly and establish and follow protocols precisely.
  • Your deepest expertise is in hematopoiesis.
  • Have 2+ years of experience in differentiating iPSCs into immune cells.
  • Enjoy standardizing lab practices and establishing highly reproducible protocols.
  • Have 2+ years of experience with cell characterization using flow cytometry.
  • Have excellent note-taking skills and take pride in maintaining detailed ELN.
  • Proficient in designing and coordinating projects across multiple parties.
  • Proficient in communicating results of experiments.

It’s a bonus if you:

  • Had exposure to the GMP environment and participated in IND filings.
  • Have experience with process development and scaling cell therapies in bioreactors.

Genbio AI
Internship
April 27, 2026

Research Engineer Intern

N/A
Palo Alto, CA
Onsite

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

  • You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI’s state-of-the-art biology foundation models and drive the research agenda to generate impact.

Qualification:

  • Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States).
  • A strong coder with excellent skills in C/C++ and Python.
  • Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc.
  • Have a solid understanding of GPU, CPU, or other AI accelerator architectures.
  • Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters).
  • Have experience improving ML accuracy using low-precision formats.
  • Have 1+ years of relevant industry experience.
  • Derive a great deal of satisfaction from every percentage point of performance improvement.
  • Have experience writing and optimizing compute kernels using CUDA or similar languages.

Nice to Have:

  • Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems.
  • Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis.
  • Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI’s model development and deployment frameworks.
  • Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN).
  • Knowledge of performance profiling and optimization tools for HPC and deep learning.

Genbio AI
Internship
April 27, 2026

Research Scientist Intern

N/A
Palo Alto, CA
Onsite

Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.

We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.

Job Description:

  • You will work with the team to conduct cutting-edge AI and computational biology research. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology.
  • You will work with the team on designing and executing experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems.
  • Additionally, you will collaborate closely with the AI/ML researchers and computational biologists on the team to develop our state-of-the-art AI for biology foundation models.

Qualification:

  • M.S. or Ph.D. student (or evidence of equivalent level of expertise) in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
  • Skilled in developing, implementing, and debugging deep learning methods/models in popular frameworks, such as JAX, TensorFlow, or PyTorch, with an interest in generative models, graph neural networks, or large-scale deep learning applications.
  • Strong theoretical foundation (e.g., statistics, optimization, graph theory, linear algebra).
  • Passion for interdisciplinary research (emphasizing the intersection of AI and Biology), and willingness to acquire necessary domain knowledge.
  • Motivated and self-driven with the ability to operate with partial descriptions of high-level objectives (as is typical in a start-up environment).
  • Familiarity with software engineering best practices (version control, documentation, etc).

Nice to Have:

  • 3 year PhD student and above.
  • Proven track record in research and innovation demonstrated through contributions in top-tier AI/ML (e.g., NeurIPS, ICML, CVPR, ECCV, ICCV, ICLR) and/or core biology (e.g., Nature, Science, or Cell) journals and conferences.
  • Intern experience in industry (e.g., OpenAI, FAIR, Deepmind, Google Research).
  • Hands-on experience working at the intersection of AI and Biology.
  • Experience in large-scale distributed training and inference.
  • Open-source contributions, especially if used by others.

Galatea Bio
Permanent
April 27, 2026

Clinical Data and Project Manager

N/A
Miami, Florida
Onsite

Who We Are

Galatea Bio is an innovative, venture backed biotechnology company with a mission to advance precision health for all. Founded by pioneers in the human genetics and bioinformatics industry, we identified a major gap in the way underrepresented communities are included in and derive benefit from advances in precision health, such as the development of new tests and cures. The last 20 years have seen an explosion of genetic information and data. New technological advances have made it faster and less expensive to understand the human genomes but most of those resources have focused on northern European communities. The mission of Galatea Bio is to channel the diversity of the world into advancing genomic medicine for the benefit of all. Leveraging clinical-grade biobanking, research and clinical genomics, and best-in-class ancestry and genome annotation algorithms, we will better understand the genetic architecture of underserved populations and power the next generation of precision medicine studies while maintaining an uncompromising commitment to ethical research. Read more at www.galatea.bio.

About this opportunity

As our Project Manager you will lead the launch of a new research project, from scratch, ensuring the achievement of milestones and deliverables in a timely manner. Parallel to launch you will also develop our internal knowledge base and establish the infrastructure for future research projects at Galatea Bio; from IRB approvals, to tooling, to documentation and tracking. You will be the liaison between study participants, research staff, and all stakeholders involved with ensuring a successful study. In this role you will report to the VP of Clinical Testing & Quality Control.

Responsibilities

  • As your first initiative, you will be responsible for monitoring sample and data flow for two new Miami-based studies and coordinating with our ex-US team for an ongoing study in Colombia.
  • As an integral component of your project plan, you will also scope out potential project risks, and preemptively incorporate efforts to minimize issues effectively.
  • Coordinate resources, timelines, and deliverables for both short term and long term objectives.
  • Collaborate with our recruitment team to perform intake assessments and data collection / management.
  • Maintain an overview, ensuring availability of inventory equipment and supplies at given research sites.
  • Enhance and take ownership of our repository of study files, including regulatory binders, source documentation, and other relevant material.
  • Conduct regular updates on project milestones and progressive performance of your studies, including patient onboarding rates, recontacting rates, and data deposition rates.

What you bring:

  • At least 5 years of clinical research coordination experience and/or recruitment of individuals into research studies.
  • Strong planning and project management skills, with a natural ability to influence collaboration
  • Practical experience within a Contract Research Organization or as part of a multi-site Clinical Study.
  • Excellent organization and communication skills, with high attention to detail.
  • Proficient with clinical study software, such as REDCap, ClinCapture, Castor, viedoc, etc.
  • Bilingual in Spanish is required
  • CITI certifications and practical experience with IRBs are a major plus.

Benefits

  • Competitive Salary
  • Eligibility for annual bonus
  • Stock Options
  • Health benefits, including dental and vision plans
  • 401k plan with company match
  • Flexible PTO
  • Diverse, inspiring, and highly academic colleagues

Deep Genomics
Permanent
April 27, 2026

Senior MLOps Engineer

N/A
Toronto, Ontario
Onsite

Senior MLOps Engineer - Deep Genomics

Deep Genomics is at the forefront of using artificial intelligence to transform drug discovery. Our proprietary AI platform decodes the complexity of RNA biology to identify novel drug targets, mechanisms, and therapeutics inaccessible through traditional methods. With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines are created.

The Opportunity

Join us in building the future of AI-driven drug discovery. In this role, you will own and evolve the infrastructure that powers our ML pipelines—from cloud environments and CI/CD systems to workflow orchestration and model deployment. You will work closely with ML scientists, bioinformaticians, and software engineers to keep our platform reliable, reproducible, and scalable.

Key Responsibilities

  • Infrastructure: Maintain and improve cloud infrastructure (GCP) using Infrastructure-as-Code tools (Terraform).
  • Governance: Manage IAM, RBAC, and permission policies across cloud environments.
  • CI/CD: Own and evolve pipelines (CircleCI, GitHub Actions) and ensure best practices are followed.
  • Orchestration: Administer and support workflow orchestration platforms (e.g., Seqera/Nextflow, Argo, Kubeflow).
  • ML Ops: Operate and configure ML experiment tracking and registry tooling (e.g., W&B, MLflow).
  • Containerization: Build and maintain containerized environments (Docker) and manage Kubernetes clusters.
  • Hardware: Manage GPU resources—provisioning, scheduling, and debugging hardware and driver issues.
  • Tooling: Write and maintain Python tooling, scripts, and integrations that support ML infrastructure.
  • Deployment: Deploy ML models to production environments and monitor their performance.

Qualifications

Basic Qualifications

  • Experience: 4+ years of experience operating production infrastructure.
  • Cloud & IaC: Proficiency with cloud platforms (GCP preferred; AWS/Azure acceptable) and Infrastructure-as-Code (Terraform).
  • Containers: Extensive hands-on experience with Kubernetes and Docker.
  • CI/CD: Solid background in systems like CircleCI or GitHub Actions.
  • GPU Management: Experience provisioning, debugging, and managing drivers for GPU compute.
  • Programming: Strong Python programming skills; familiarity with package and environment management (e.g., pip, conda, pixi).
  • Soft Skills: Self-motivated problem solver with excellent communication skills.

Preferred Qualifications

  • ML Familiarity: Understanding of ML frameworks (e.g., PyTorch), workflows (training/inference), and the model lifecycle.
  • MLOps Tooling: Familiarity with tools like W&B, Ray, or VertexAI, and distributed compute patterns.
  • Kubernetes: Knowledge of K8s CRDs and batch/gang schedulers (e.g., Volcano, Kueue).
  • Data: Experience with large-scale datasets, storage, and versioning.
  • Domain Knowledge: Interest or experience in biology and/or machine learning science.
  • Environment: Experience working directly with scientists in an interdisciplinary setting, and familiarity with data compliance (HIPAA, SOC 2).
  • Startup: Previous startup experience.

What We Offer

  • Impact: A collaborative and innovative environment at the frontier of computational biology, machine learning, and drug discovery.
  • Compensation: Highly competitive compensation, including meaningful stock ownership.
  • Benefits: Comprehensive health, vision, and dental coverage for employees and families; employee and family assistance programs.
  • Flexibility: Flexible hours, extended long weekends, holiday shutdown, and unlimited personal days.
  • Family Support: Maternity and parental leave top-up coverage, as well as new parent paid time off.
  • Growth: Dedicated learning and development budget, plus regular "lunch and learns."
  • Locations: Modern facilities in the heart of Toronto (an epicenter of ML/AI research) and Kendall Square, Cambridge, MA (a global center of biotech).

Ultima Genomics
Permanent
April 27, 2026

Bioinformatics Researcher II

N/A
Tel Aviv District, Israel
Onsite

Bioinformatics Researcher II – Ultima Genomics

About Ultima GenomicsUltima Genomics is a rapidly growing company developing ground-breaking genomics technologies. Their mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. They have developed a foundational new approach to sequencing at scale that overcomes the limitations of current high-cost technologies. The company is well-funded, having raised approximately $600 million from global top-tier investors. Their diverse team includes entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, and operations leaders.

Role Overview

The R&D team in Israel is looking for a highly motivated Bioinformatics Researcher II to join their team. You will design and execute analyses on Ultima sequencing data, develop computational methods, and build scalable pipelines that turn raw data into clear biological insights, working at the intersection of biology, computing, and AI.

Responsibilities

  • Build and run pipelines: Design and execute analysis pipelines on sequencing data in a cloud-based environment.
  • Work across teams: Collaborate with lab scientists, bioinformatic scientists, data scientists, and clinical partners to define requirements, provide analysis support, and influence the direction of the scientific platform.
  • Develop and adapt methods: Create new algorithms and apply state-of-the-art approaches to turn high-throughput data into biological insights.
  • Ensure rigor: Use quantitative and computational methods to validate results and strengthen the impact of findings.

Qualifications

  • Education: MS or PhD in Computational Biology, Bioinformatics, Computer Science, or a related discipline.
  • Experience: 3+ years of relevant industry or academic experience in a hands-on bioinformatics role is preferred.
  • NGS Proficiency: Demonstrated experience analyzing and interpreting large-scale Next Generation Sequencing (NGS) datasets such as WGS, WES, and RNA-seq.
  • Programming: Expert proficiency in Python for complex data analysis and proficiency in UNIX.
  • Quantitative Skills: A strong foundation in statistics and quantitative analyses.
  • Software Development: Proficiency with best practices, including version control with Git, containerization with Docker, and unit testing.
  • Specialization: Deep expertise in a specific area of genomics, such as somatic variant calling, structural variation, or single-cell analysis.
  • Cloud & Workflows: Hands-on experience deploying and managing bioinformatics workflows in a cloud environment (AWS/GCP) using tools such as WDL, Nextflow, or Snakemake.

Ultima Genomics is an equal opportunity workplace and an affirmative action employer.

Element Biosciences
Permanent
March 31, 2026

Bioinformatics Scientist (Postdoc)

$95,000 - $110,000
San Diego
Onsite

At Element Biosciences, the mission is to empower the scientific community with more freedom and flexibility to accelerate the collective impact on humanity. They have built a product-driven organization committed to scientific integrity, collegiality, and openness.

The Opportunity

We are seeking a Bioinformatics Scientist to join our Bioinformatics and Scientific Affairs team. This is a 1-year post-doc program with the possibility of conversion to full-time employment.

The role focuses on generating high-quality analyses to support scientific publications, conference presentations, and customer-facing enablement. You will collaborate with internal scientific teams and external partners to advance our multiomics platform and drive impactful research. This position reports to the VP, Bioinformatics and Scientific Affairs.

What You'll Do

  • Data Analysis: Design, execute, and interpret multiomic and single-cell data analyses (scRNA-seq, CITE-seq, spatial transcriptomics) to generate publication-quality insights.
  • Pipeline Development: Develop and maintain bioinformatics pipelines and software tools to support platform development.
  • Scientific Communication: Contribute to manuscripts, figure generation, and data visualization for peer-reviewed journals and conferences.
  • Collaboration: Work closely with wet-lab scientists and product teams to design experiments and interpret results.
  • Statistical Application: Apply exploratory data analysis and statistical methods to large datasets to identify biological patterns.
  • Innovation: Stay current with advances in NGS technologies, multiomics methods, and bioinformatics best practices.

What You'll Bring

Education & Experience

  • PhD in Bioinformatics, Computational Biology, Genomics, or a related field.
  • Experience: 0–3 years of experience post-PhD.
  • Track Record: Proven history of scientific contributions through peer-reviewed publications or conference presentations.

Technical Skills

  • Multiomic Proficiency: Hands-on experience with RNA-seq, single-cell workflows (Seurat, Scanpy), and spatial transcriptomics.
  • Programming: High proficiency in Python, R, and Bash.
  • Bioinformatics Tools: Familiarity with standard tools and pipelines (e.g., STAR, GATK, CellRanger, DESeq2).
  • Infrastructure: Experience with cloud computing (AWS) and high-performance computing (HPC) environments.
  • Statistics: Strong foundation in experimental design, differential expression, and multi-group comparisons.
  • NGS Knowledge: Experience with sequencing data QC and benchmarking is a significant plus.

Compensation & Logistics

  • Base Compensation: $95,000 - $110,000 (depending on qualifications and experience).
  • Job Type: 1-year Post-doc contract (potential for full-time conversion).
  • Location: San Diego, CA (Onsite/Hybrid potential).
  • Travel: Domestic travel up to 10%.

Benefits

  • No-cost health insurance plans.
  • 401(k) with company match.
  • Flexible paid time off.

GenBio AI
Permanent
March 22, 2026

Bioinformatics Data Engineer

N/A
Abu Dhabi
Onsite

GenBio AI develops multiscale foundation models to decode and simulate human biology. Our team is accelerating towards an ambitious future where scientists can unlock humanity's biggest challenges in drug discovery, healthcare, and fundamental research with AIDO (AI-Driven Digital Organism): a unified framework for predicting, simulating, and programming biology across all scales. The foundation of this vision begins today as we engineer the virtual cell to model and simulate the fundamental unit of life.

This vision has brought together a talent-dense group of product-minded researchers and engineers dedicated to bringing it to reality. Our team prides itself on our strong engineering culture and highly interdisciplinary and collaborative approach. We are based in Palo Alto, with satellite offices in Paris and Abu Dhabi.

As our data ingestion needs grow, we are looking for a Bioinformatics Data Engineer to act as the crucial bridge between raw biological data and our scalable infrastructure. Reporting to the Data Engineering Lead, you will leverage your deep biological domain expertise to build the initial scripts and processing logic for complex datasets, ensuring they are primed for large-scale foundation model training.

Responsibilities

  • Source & Acquire Biological Data - Identify, evaluate, and obtain high-quality bioinformatics datasets from public and partner sources (e.g., NCBI, PubChem, ENCODE, UniProt etc.) to support research and model development initiatives.
  • Deeply Understand Complex Datasets - Develop a comprehensive understanding of biological datasets, including data structures, schemas, metadata standards, entity relationships, and underlying biological context to ensure accurate interpretation and usage.
  • Design & Implement Data Processing Pipelines - Develop robust preprocessing scripts and scalable data transformation workflows using Python, R, and relevant Tools. Leverage AI-assisted tools where appropriate to process, clean, normalize, and integrate complex biological data for foundation model training.
  • Structure & Standardize Biological Data - Organize heterogeneous datasets into well-defined, interoperable formats aligned with internal infrastructure requirements and downstream AI training pipelines.
  • Bioinformatics Data Analysis - Perform exploratory and statistical analysis of genomic, transcriptomic, proteomic, and other multi-omics datasets to assess data quality, uncover biological patterns, and generate insights that inform model development. Apply appropriate computational and statistical methods to validate assumptions and support downstream AI training and evaluation.
  • Build Data Products - Create production-ready data assets, including standardized datasets, curated releases, dashboards, analytical reports, and technical documentation to enable efficient research and model evaluation.
  • Ensure Data Quality & FAIR Compliance - Curate, annotate, validate, and standardize public and partner datasets in alignment with FAIR (Findable, Accessible, Interoperable, Reusable) principles, ensuring long-term usability and reproducibility.
  • Collaborate Cross-Functionally - Partner closely with research scientists and ML engineers to translate biological research needs into scalable data engineering solutions that support AI model training and evaluation.
  • Knowledge Sharing & Documentation - Contribute domain expertise by documenting data methodologies, maintaining clear technical documentation, and sharing biological data insights across teams.

Qualifications

  • Educational Background: Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Computer Science, or a related field with a heavy focus on the life sciences.
  • Biological Data: Deep, hands-on familiarity with multiple biomedical data modalities (e.g., genomics, transcriptomics, spatial omics, protein structure, biomedical imaging, clinical/phenotypic data, etc.).
  • Biological Tools: Familiar with Bioconda, Biopython, Bioconductor, samtools, bamtools, bcftools, gffutils etc.
  • Scripting & Tooling: Strong programming skills in Python (Pandas, NumPy) and proficiency with standard bioinformatics workflow managers and tools (e.g., Ray, Kubeflow).
  • Engineering Handoff: Experience writing clean, modular code that can be easily picked up by core data engineers for optimization in cloud environments (AWS/GCP/HF) and containerized setups (Docker).
  • AI/ML Awareness: A solid understanding of machine learning workflows and how biological data must be formatted and batched for deep learning frameworks (e.g., PyTorch).

Ultima Genomics
Permanent
March 22, 2026

Senior Software and Algorithm Engineer

N/A
Tel Aviv District, Israel
N/A

Rapidly Growing Life Sciences Technology Company

Ultima Genomics is a rapidly growing company that is developing ground-breaking genomics technologies. Our mission is to continuously drive the scale of genomic information to enable unprecedented advances in biology and improvements in human health. We have developed a foundational new approach to sequencing at scale that overcomes limitations due to the high costs of current technologies. We are well-funded and have raised approximately $600 million from global top-tier investors. Our team brings together unique and diverse expertise across multiple disciplines, from healthcare and life sciences, to engineering, to technology and software and beyond. We are a collaborative group, including successful entrepreneurs, chemists, hardware and software engineers, genomics and biotechnology experts, molecular and computational biologists, software and algorithm experts, and operations and commercial leaders. Join us to develop and commercialize technologies that unleash the power of genomics at scale and empower the future of human health.

We are looking for a highly motivated Senior Software and Algorithm Engineer to join our team!

As a Senior Software and Algorithm Engineer you will help us with implementing innovative bioinformatics algorithms and extracting more insights from the data our product generates.

How You’ll Contribute

  • Participate in the architecture and software design of bioinformatics solutions
  • Implement bioinformatic algorithms in an efficient, reusable and manageable C/C++ code
  • Learn in-depth the required algorithms, analyze their complexity and find/invent ways to implement them in the most efficient way possible
  • Work on existing and on new pipeline infrastructures, both on-prem and at cloud environments
  • Manage performance tuning, integrations, testing and bug fixing

Qualifications, Skills, Knowledge & Abilities

  • BS degree in Electrical Engineering, Software Engineering, Computer Science or equivalent
    • MS degree or other advanced studies in above fields is a plus
  • 5+ years of experience working as a senior software engineer
  • 5+ years of experience working with C/C++
  • Experience in implementing analytical algorithms in C/C++, similar language or lower-level code
    • Experience with bioinformatics algorithms is a plus
  • Familiarity with other programing languages: Python, Java, R, Rust
  • Familiarity with public cloud environments (AWS, GCP, Azure), Containers (docker) and Orchestrators (K8S)
  • Knowledge of workflow management systems (e.g., Prefect, Airflow, Luigi)
    • Familiarity with pipeline languages such as WDL, Nextflow or Snakemake is a plus

Ultima Genomics is proud to be an equal opportunity workplace and is an affirmative action employer. We provide equal employment opportunity for all applicants and employees. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, military or veteran status, marital status, domestic partner status, sexual orientation, genetic information, or any other basis protected by applicable laws. If you have a disability or special need that requires accommodation, please let us know by contacting recruiting@ultimagen.com.

Ginkgo Bioworks Inc.
Permanent
March 22, 2026

Senior Software Engineer, Full Stack

$134,300.00 - $189,900.00
Boston, Massachusetts
Onsite

Our mission is to make biology easier to engineer. Ginkgo is constructing, editing, and redesigning the living world in order to answer the globe’s growing challenges in health, energy, food, materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms.

This role strongly prefers candidates located in the Boston area with the ability to regularly commute to our Seaport headquarters.

Due to the nature of this role, candidates should expect to support U.S. Government customers. Candidates must have the ability to obtain and maintain a U.S. security clearance per business requirements. In connection therewith, candidates must be willing to undergo a background investigation and meet eligibility requirements. Clearance sponsorship will be available.

Candidates who currently hold an active or recently inactive U.S. Government security clearance are encouraged to apply.

Ginkgo Biosecurity is building next-generation biosecurity infrastructure to help governments and partners detect, attribute, and deter biological threats. Our mission extends across public health, national security, and global defense, ensuring nations can rapidly identify dangerous pathogens, understand where threats originate, and respond with confidence.

We are seeking a Senior Full-Stack Software Engineer to join the Biosecurity engineering team. This role is ideal for someone who thrives in cross-disciplinary environments and is excited to build production software that directly supports biosecurity, epidemiology, and biological data workflows. We are looking for an engineer who is not only a technical expert but also a forward-thinker who embraces AI-augmented development and maintains a 'deploy-with-confidence' culture through rigorous CI/CD and automated testing.

You will work across the stack—from backend services and data pipelines to user-facing web applications—building reliable, scalable systems that turn complex biological data into actionable insights.

Responsibilities

  • Develop high-performance full-stack applications that translate complex biological data and operational needs into intuitive software using Python and modern JavaScript frameworks.
  • Champion an AI-first mindset, leveraging generative AI tools and LLM-based assistants to accelerate feature development, optimize code quality, and automate routine engineering tasks.
  • Collaborate with cross-functional domain experts to architect and operate on biological datasets (genomic, diagnostic, or epidemiological), ensuring that surveillance workflows maintain high standards for data integrity, provenance, and security.
  • Influence the technical roadmap and long-term evolution of the Biosecurity platform, identifying and mitigating technical debt and architectural bottlenecks before they impact delivery.
  • Design and implement robust CI/CD pipelines where automated unit, integration, and security testing are treated as mandatory gates for every code deployment.
  • Drive engineering excellence by leading technical design reviews and providing critical feedback on software modularity, while upholding rigorous standards for documentation, observability, and long-term maintainability.
  • Support production systems by monitoring performance, troubleshooting issues, and continuously improving reliability, including on-call support and triage in off hours.

Minimum Requirements

  • 6-8+ years of professional software engineering experience, with significant full-stack development work, including ownership of complex systems and cross-team technical initiatives.
  • Strong proficiency in Python for backend development (our primary programming language).
  • Experience building and consuming APIs (REST and/or GraphQL).
  • Experience developing modern web frontends using JavaScript/TypeScript and frameworks such as React.
  • Demonstrated ability to integrate AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) into daily workflows to increase productivity and code reliability.
  • Proven experience collaborating with domain experts (scientific, operations, product, etc) to translate complex biological data (genomic, diagnostic, or epidemiological) into robust software solutions and actionable insights.
  • Solid grounding in software engineering fundamentals: data structures, system design, version control, and modern CI/CD patterns for automated testing and deployment.

Preferred Capabilities and Experience

  • Prior experience in bioinformatics, computational biology, public health, or a related domain.
  • Familiarity with cloud infrastructure (e.g., AWS) and containerized environments (Docker, Kubernetes).
  • Experience with data pipelines, workflow orchestration, or analytics platforms.
  • Exposure to regulated or sensitive-data environments (e.g., HIPAA, public health data).
  • Demonstrate high levels of ownership and independent execution.
  • Comfort working in fast-moving, ambiguous problem spaces where requirements evolve.
  • Flexibility and willingness to work on the highest priority needs of the business.

The base salary range for this role is $134,300.00 - $189,900.00. Actual pay within this range will depend on a candidate's skills, expertise, and experience. We also offer company stock awards, a comprehensive benefits package including medical, dental & vision coverage, health spending accounts, voluntary benefits, leave of absence policies, 401(k) program with employer contribution, 8 paid holidays in addition to a full-week winter shutdown and unlimited Paid Time Off policy.

It is the policy of Ginkgo Bioworks to provide equal employment opportunities to all employees, employment applicants, and EOE disability/vet.

Privacy NoticeI understand that I am applying for employment with Ginkgo Bioworks and am being asked to provide information in connection with my application. I further understand that Ginkgo gathers this information through a third-party service provider and that Ginkgo may also use other service providers to assist in the application process. Ginkgo may share my information with such third-party service providers in connection with my application and for the start of employment. Ginkgo will treat my information in accordance with Ginkgo's Privacy Policy. By submitting this job application, I am acknowledging that I have reviewed and agree to Ginkgo's Privacy Policy as well as the privacy policies of the third-party service providers used by Ginkgo's associated with the application process.

Biohub
Permanent
March 22, 2026

Staff Data Scientist, Genomics

$214,000 - $294,800
Redwood City, CA (Hybrid)
Hybrid

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

The Opportunity

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health — advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact.

The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. We're a small team with significant resources and long time horizons. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.

The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

We’re looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and tokenization, and can translate that thinking into novel training architectures. You’ll work across experimental, computational, and AI teams to build scalable, interpretable genomic data systems that power next-generation biological models and accelerate human health discovery.

What You'll Do

  • Set technical vision and strategy for the design of data representations and tokenization strategies for diverse biological data types that enable novel model architectures.
  • Define data standards and quality metrics that enable reliable cross-dataset integration and model-ready data products.
  • Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects.
  • Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve.
  • Partner deeply with ML engineers and AI researchers to co-design datasets and feedback loops that optimize model training, evaluation, and generalization.
  • Lead cross-functional initiatives spanning data engineering, infrastructure, science, and product, aligning technical execution with long-term scientific goals.
  • Identify and drive new data acquisition and generation opportunities, from external collaborations to internal experimental pipelines.
  • Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the organization.

What You'll Bring

  • PhD in computational biology, bioinformatics, or a quantitative biological field.
  • 8+ years of experience working with large-scale biological datasets (genomics, epigenomics, transcriptomics, proteomics, or multi-omics), including ownership of end-to-end data products.
  • Deep understanding of biological measurement types (sequencing, imaging, proteomics, or related), their underlying data characteristics, and how to transform raw data into AI-ready datasets.
  • Experience designing data representations or feature engineering for machine learning in biomedical contexts.
  • Strong computational skills (Python, scientific computing libraries); demonstrated ability to design robust, extensible data architectures and to evolve standards in fast-moving scientific domains.
  • Strong expertise in machine learning and statistical modeling, with experience applying these methods to data quality assessment, automation, or decision-making systems.
  • Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning.
  • Excellent communication skills, with the ability to translate between biology, ML, and engineering audiences.
  • Creativity, curiosity, scientific judgment, and a willingness to engage deeply with new biological domains and emerging AI paradigms.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager.

Benefits for the Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

  • Generous employer match on employee 401(k) contributions.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving.

Biohub
Permanent
March 22, 2026

Staff Data Scientist, Imaging

$214,000 - $294,800
Redwood City, CA (Hybrid)
Hybrid

Biohub is a 501(c)(3) biomedical research organization building the first large-scale scientific initiative combining frontier AI with frontier biology to solve disease. We build the technology to help scientists around the world use AI-powered biology to study how cells operate, organize, and work as part of systems to understand why disease happens and how to correct it. With our compute capacity, AI research and engineering, and state-of-the-art technology for measuring, imaging, and programming biology, we are enabling scientists worldwide to use AI-powered biology to advance our understanding of human health.

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

The Opportunity

This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.

The data that trains biological frontier models comes in dozens of modalities—sequences, images, spatial coordinates, time series, molecular structures, metadata, preprints and published papers—each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

You will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.

We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can translate that thinking into novel training architectures. You'll work directly with experimental and computational scientists, data scientists and AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.

What You'll Do

  • Design data representations and tokenization strategies for imaging data that enable novel model architectures
  • Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations—defining priorities and appropriate structures for metadata and data that information models can access and consume
  • Work across those teams to guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective
  • Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
  • Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve

What You'll Bring

  • PhD in computational biology, bioinformatics, or a quantitative biological field
  • Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
  • Track record of novel methodological contributions (publications, open-source tools, or production systems)
  • Familiarity with biological foundation models (ESM, scGPT, or similar)
  • Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets
  • Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
  • Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
  • Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
  • Creative, first-principles thinking about how to structure data for learning

Compensation

The Redwood City, CA base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.

  • Provides a generous employer match on employee 401(k) contributions to support planning for the future.
  • Paid time off to volunteer at an organization of your choice.
  • Funding for select family-forming benefits.
  • Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

10x Genomics
Permanent
March 22, 2026

Scientist II, Clinical Bioinformatics

$123,400 — $167,000
Pleasanton, California, USA HQ
Onsite

About The Role

10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.

The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics.

What You Will Be Doing:

  • Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis.
  • Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.
  • Design, implement and validate biomarkers for diagnostic applications.
  • Implement and maintain bioinformatics pipelines for reproducible, large-scale data processing.
  • Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.

To Be Successful, You Will Need:

  • Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis.
  • A minimum of 2 years of industry experience post-Ph.D.
  • Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
  • In-depth understanding of the assumptions, limitations and caveats of statistical methods.
  • Experience developing and optimizing high-performance, scalable code.
  • Proficiency working in a Linux environment.
  • Goal-oriented, self-motivated and an independent problem solver.
  • Meticulous attention to detail and a conscientious work ethic.

Preferred Skills

  • Hands-on experience with 10x Genomics single-cell and in-situ transcriptomics technologies is a strong preference.
  • Hands-on research experience in cancer or autoimmune diseases is a strong preference.
  • Knowledge of clinical genomics, biomarker discovery and diagnostics.
  • Development of statistical models and algorithms for single-cell or spatial transcriptomics data.
  • Application of machine learning, particularly in the context of genomics.
  • Proficiency with workflow orchestration frameworks such as Snakemake, Nextflow or Martian.
  • Programming best practices including data analysis reproducibility, version control, design patterns, testing, debugging and profiling.
  • Track record of writing production-level code or maintaining published software packages.
  • High-throughput computing infrastructure such as HPCs or cloud computing.

Pay Range

$123,400 — $167,000 USD

Actual base pay depends on skills, qualifications, and experience. This role is also eligible for equity grants, health/retirement benefits, and annual bonus or sales incentive programs.

About 10x Genomics

At 10x Genomics, accelerating our understanding of biology is more than a mission for us—it is a commitment. Our tools have enabled fundamental discoveries across biology including cancer, immunology, and neuroscience. We are dedicated to finding the very best person for every aspect of our work because the innovations and discoveries that we enable together will lead to better technologies, better treatments, and a better future.

Individuals seeking employment at 10x Genomics are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation, or any other characteristic protected by applicable law.

Fulgent
Permanent
March 22, 2026

Senior Bioinformatics Scientist I

$140,000 - $165,000
El Monte, CA
Onsite

Description

About Us

Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform.

Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike.

Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company.

Summary of Position

As a Senior Bioinformatics Scientist, you will collaborate in cross-functional teams to design, implement and continually improve advanced computational pipelines for high-throughput analysis of multiple types of NGS data. You will work independently in refining methodologies for data analysis, processing, visualization and storage.  You will also be assigned leadership roles in projects with mentor responsibility to junior members of the team.  You will strive to maximize efficiency, quality, reliability and customer usability and satisfaction.

Key Job Elements

Research and Development

  • Investigate and refine available algorithms, methods and data sources.
  • Work independently to define, prioritize and complete objectives to meet company goals.
  • Make recommendations for pipeline component improvements, or new pipelines.
  • Write SOPs for new or updated pipeline components, or new pipelines.
  • Write specifications for implementation by software developers.
  • Oversee pipeline development and integration.

Production and Customer Support

  • Investigate and resolve analysis and pipeline production issues.
  • Review client projects for compatibility with current pipelines, make recommendations and implement customizations as needed.
  • Oversee sequencing service projects, ensuring timely processing, quality results and client satisfaction.
  • Support software and LIMS developers in automation efforts.
  • Perform specialized analyses as needed for specific projects.
  • Keep up-to-date with current best practices and emerging methods.
  • Treat data with a high level of integrity and ethics.

Data Maintenance

  • Investigate available annotation and reference data sources.
  • Validate and deploy/update selected data sources.
  • Write reports detailing validation/update methodology and results.
  • Write SOPs for updating existing or new data sources.

Validation

  • Develop appropriate procedures for testing and validation of new or updated pipelines or pipeline components.
  • Document and maintain data used for testing and validation.
  • Write validation reports detailing validation methodology and results.

Qualifications

Knowledge/Experience

  • Ph.D. degree from an accredited institution in Bioinformatics, Biostatistics or related field.
  • 5+ years of experience in a related scientific discipline (Bioinformatics preferred).
  • Demonstrated mastery of Fulgent specific methods and processes.
  • Experience analyzing multiple types of next-generation sequencing (NGS) data
  • Expertise with statistics for big data analysis and multiomics data integration.
  • Expert level hands-on skills in bioinformatics databases and tools.
  • Expert level in relevant programming languages, preferably Scala, Java, Python, and Bash.
  • Must enjoy working in a multi-disciplinary and collaborative environment.
  • Ability to troubleshoot both individually and as part of a team.
  • Excellent oral and written skills with the ability to communicate in an open, transparent, timely and consistent manner.
  • Experience in team software development and integration projects is a plus.

Supervisor Responsibilities

  • None

Reports To

  • Director, Biointegration

Environment

Fulgent Therapeutics LLC is an Equal Employment Opportunity Employer.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. The term “qualified individual with a disability” means an individual with a disability who, with or without reasonable accommodation, can perform the essential functions of the position.

For California residents, please see the link below to access our CCPA Privacy Notice.

CCPA Privacy Notice for California Residents

https://tinyurl.com/FulgentCCPA

Please note that Fulgent (and its affiliated companies, including Inform Diagnostics and CSI Laboratories) does not accept unsolicited information and/or resumes from search firms or agencies for our job postings. Search firms or agencies without an applicable contract and/or express approval to recruit for the role in question — that choose to submit a resume or client information to our career page or to any employee of Fulgent — will not be eligible for payment of any fee(s), and any associated shared data will become the property of Fulgent.

GATC Health
Permanent
March 22, 2026

Bioinformatics Analyst

$70,000 - $85,000
Irvine, CA
Onsite

Company Overview: GATC Health is an innovative TechBio company at the forefront of revolutionizing pharmaceutical discovery and accelerating their development through the integration of artificial intelligence (AI), science and finance. Our company is dedicated to advancing therapeutic discoveries and improving human health by leveraging the power of technology and interdisciplinary collaboration.

Position Overview: We are seeking a talented Bioinformatics Analyst to join our dynamic, multi-disciplinary team that is responsible for implementing and aiding in design and analysis software and informatics pipelines for primary, secondary, and tertiary analysis of data generated from transcriptional, proteomic, and mult-omic assays. As a Bioinformatics Scientist, you will innovate, develop and implement novel analysis methods for different data types from sparse to large and complex datasets to support the internal development and validation of new pharmaceutical assets and the development of end-user, customer-facing data analysis and visualization for biotech customers and stakeholders. A highly motivated scientist with broad expertise and experience in bioinformatics, computational biology, transcriptomics, proteomics and multi-omics would be an ideal fit for this position.

Roles and Responsibilities

  • Prep and Process data through GATC platform based on customer or internal end user requirements.
  • Implement primary and secondary analysis tools for GATC’s assays.
  • Work with cross-disciplinary R&D teams to develop and implement new discovery and risk assessment product applications.
  • Aid in Development and implementation processes and algorithms for multi-modal datasets, scalable to very large numbers of samples.
  • Engage with external collaborators on the evaluation of beta version products and analysis of novel data.

Role Requirements

  • Degree in computational biology, bioinformatics, computer science or similar.
  • Experience analyzing complex multi-omic datasets, including human or single cell data.
  • Experience implementing, and evaluating novel bioinformatics algorithms and pipelines.
  • Experience in programming in scripting (Python or similar) and interpreted languages (R, etc).
  • Demonstrated ability to become proficient in new fields and work with interdisciplinary teams.
  • Excellent verbal/written communication and interpersonal skills with scientist and non-scientists.

Role Preferences

  • Experience using or interfacing with machine learning algorithms.
  • Experience analyzing and interpreting large-scale human or single cell datasets.
  • Experience with professional software development methods and tools in a team environment.
  • Experience in programming in scripting (Python), interpreted (R ) and compiled languages (C++ / Rust / Java).
  • Experience working with collaborators, including lab scientists on multi-omic method development.
  • Experience visualizing scientific datasets and results.
  • Experience using cloud computing environments.
  • Computational biology and bioinformatics innovation.

$70,000 - $85,000 a year

Why Join Us:

• Opportunity to work at the intersection of technology and science, driving innovation in pharmaceutical discovery.

• Collaborative and inclusive work culture that values diversity, creativity, and continuous learning.

• Competitive compensation package, including salary, benefits, and opportunities for professional development.

• Chance to make a meaningful impact on human health and contribute to groundbreaking research and development projects.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.