{"id":2270540,"url":"https://alion.io/job/onyx-bio-computational-biologist","title":"Computational Biologist","company":{"id":3793417,"name":"Onyx Bio","domain":"onyx.bio","url":"https://alion.io/company/onyx-bio","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Biotech","role_family":"Biotech","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berkeley, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":107000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1104},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Single-Cell Sequencing","optional":false}],"status":"live","first_seen_at":"2026-10-07T23:42:29Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-23T19:42:25Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"Computational Biologist\nOnyx Bio · Berkeley, CA (Onsite) · Full-Time\nAbout Onyx Bio\nOnyx is a research collective building a virtual immune system - a model of how real people respond to infection, inflammation, and treatment. Every person who joins adds to it, helping researchers understand immune disease more deeply and build the next generation of precision medicines faster and more safely.\nPosition Overview\nWe’re looking for someone who can build and productize our virtual immune system! We work directly with members to collect fully paired data spanning clinical records / real world data along with multiomic data spanning assays from WGS, scRNA (5’/TCR/BCR, 3’/ATAC), proteomics, metabolomics, reactomics, and beyond - all over time as member’s health changes.\nYou’ll be focused on leading our efforts to handle all of the multiomic data we have, and then utilizing it to power AI scientists, AI models, and other analyses that we will run internally and in partnership with other researchers.\nYou should naturally handle highly ambiguous situations with tenacity, discovering paths forward using both internal and external feedback. The work spans several domains - biology, AI, infrastructure, and product development. You should have demonstrated a high capacity to learn quickly, is paranoid about data quality and rigor, and has a track record of demonstrating great judgement.\nAt the moment, the role emphasizes individual contribution, though over time as the team grows, the candidate will have the option to lead and mentor.\nKey Responsibilities\nLead the strategy and execution for processing, analyzing, and integrating multiomic data types (WGS, scRNA-seq, TCR/BCR, proteomics, metabolomics, reactomics) paired with longitudinal real-world data.\n\nBuild and deploy AI models, foundation models, and computational infrastructure to model immune system dynamics and extract biological insights.\n\nDrive cross-functional technical initiatives spanning computational biology, AI research, data infrastructure, and product development.\n\nCollaborate with external academic and industry research partners to deliver collaborative translational insights and data productizations.\n\nRequired Qualifications\nPhD or equivalent experience in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related quantitative field.\n\n5+ years of industry experience in computational biology, preferably on a small team.\n\nDeep expertise in analyzing multiomic datasets, including single-cell genomics (scRNA, ATAC, TCR/BCR), bulk sequencing, or proteomics/metabolomics.\n\nDemonstrated track record of developing machine learning or deep learning models for complex biological data and biological target/feature discovery.\n\nStrong software engineering and data infrastructure capabilities for productizing models and pipeline architectures.\n\nPreferred Qualifications\nDomain expertise in human immunology, autoimmune diseases, or systemic inflammatory response modeling.\n\nExperience working with electronic health records (EHR), longitudinal clinical datasets, and real-world data integration.\n\nExperience building foundation models or generative AI architectures tailored for biological multiomics.\n\nProven ability to lead technical teams or cross-functional research initiatives in high-growth startup environments.\n\nYou’ll Thrive In This Role If You:\nYou thrive in high-ambiguity environments and demonstrate tenacity in finding creative solutions.\n\nYou constantly question/assess data quality, and ensure your work and products reflect this paranoia.\n\nYou learn rapidly, move fast, and naturally operate with high autonomy and strong ownership.\n\nYou enjoy bridging diverse disciplines-biology, AI, data platforms, and product strategy.\n\nCompensation & Benefits\nBase salary: Depends on experience and scope\n\nEquity: Meaningful early-stage equity grant with standard 4-year vesting\n\nHealth: Comprehensive medical, dental, and vision coverage\n\nPTO: Flexible time-off policy\n\nTeam Values\nPeople first - We use AI and technology to serve people and improve human health, not the other way around.\n\nReal change - We study how real biology unfolds in real people so the next generation of medicines works better for them.\n\nEarn the right - We build from first principles and keep trying until we figure it out, because better futures don’t just happen.\n\nEqual Opportunity\nOnyx is an Equal Opportunity Employer. We celebrate diversity and strive to create an inclusive environment for all employees. All qualified applicants receive consideration without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.\nComputational Biologist\nOnyx Bio · Berkeley, CA (Onsite) · Full-Time\nAbout Onyx Bio\nOnyx is a research collective building a virtual immune system-a model of how real people respond to infection, inflammation, and treatment. Every person who joins adds to it, helping researchers understand immune disease more deeply and build the next generation of precision medicines faster and more safely.\nPosition Overview\nWe’re looking for someone who can build and productize our virtual immune system. We work directly with members to collect fully paired data spanning clinical records/real-world data along with multiomic data-including assays from WGS, scRNA (5’/TCR/BCR, 3’/ATAC), proteomics, metabolomics, reactomics, and beyond-all over time as members’ health changes.\nYou’ll be focused on leading efforts to handle all the multiomic data we have, and then utilizing it to power AI scientists, AI models, and other analyses that we will run internally and in partnership with other researchers.\nYou should naturally handle highly ambiguous situations with tenacity, discovering paths forward using both internal and external feedback. The work spans several domains: biology, AI, infrastructure, and product development. You should have demonstrated a high capacity to learn quickly, be meticulous about data quality and rigor, and have a track record of great judgement.\nAt present, the role emphasizes individual contribution, though over time, as the team grows, the candidate will have the opportunity to lead and mentor.\nKey Responsibilities\nLead the strategy and execution for processing, analyzing, and integrating multiomic data types (WGS, scRNA-seq, TCR/BCR, proteomics, metabolomics, reactomics) paired with longitudinal real-world data.\n\nBuild and deploy AI models, foundation models, and computational infrastructure to model immune system dynamics and extract biological insights.\n\nDrive cross-functional technical initiatives spanning computational biology, AI research, data infrastructure, and product development.\n\nCollaborate with external academic and industry research partners to deliver collaborative translational insights and data productizations.\n\nRequired Qualifications\nPhD or equivalent experience in Computational Biology, Bioinformatics, Systems Biology, Computer Science, or a related quantitative field.\n\n5+ years of industry experience in computational biology, preferably on a small team.\n\nDeep expertise in analyzing multiomic datasets, including single-cell genomics (scRNA, ATAC, TCR/BCR), bulk sequencing, or proteomics/metabolomics.\n\nDemonstrated track record of developing machine learning or deep learning models for complex biological data and biological target/feature discovery.\n\nStrong software engineering and data infrastructure capabilities for productizing models and pipeline architectures.\n\nPreferred Qualifications\nDomain expertise in human immunology, autoimmune diseases, or systemic inflammatory response modeling.\n\nExperience working with electronic health records (EHR), longitudinal clinical datasets, and real-world data integration.\n\nExperience building foundation models or generative AI architectures tailored for biological multiomics.\n\nProven ability to lead technical teams or cross-functional research initiatives in high-growth startup environments.\n\nYou’ll Thrive In This Role If You\nThrive in high-ambiguity environments and demonstrate tenacity in finding creative solutions.\n\nConstantly question and assess data quality, ensuring your work and products reflect this level of rigor.\n\nLearn rapidly, move fast, and naturally operate with high autonomy and strong ownership.\n\nEnjoy bridging diverse disciplines-biology, AI, data platforms, and product strategy.\n\nCompensation & Benefits\nBase salary: Depends on experience and scope\n\nEquity: Meaningful early-stage equity grant with standard 4-year vesting\n\nHealth: Comprehensive medical, dental, and vision coverage\n\nPTO: Flexible time-off policy\n\nTeam Values\nPeople first: We use AI and technology to serve people and improve human health, not the other way around.\n\nReal change: We study how real biology unfolds in real people so the next generation of medicines works better for them.\n\nEarn the right: We build from first principles and keep trying until we figure it out, because better futures don’t just happen.\n\nEqual Opportunity\nOnyx is an Equal Opportunity Employer. We celebrate diversity and strive to create an inclusive environment for all employees. 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