--- title: 'Staff Computational Biologist at Freenome' canonical: 'https://feeny.ai/job/staff-computational-biologist-freenome-remote-9yh259vcdkp1' type: 'job' last_seen: '2026-09-07' --- # Staff Computational Biologist at Freenome - **Company:** Freenome - **Location:** Remote - **Work type:** remote - **Posted:** 2026-08-05 - **Last confirmed live:** 2026-09-07 - **Apply:** https://job-boards.greenhouse.io/freenome/jobs/8658763002 ## Job description About this opportunity: At Freenome, we are seeking a Staff Computational Biologist to help grow the Freenome Computational Biology, Assay Research (CBAR) team. As part of our team, you will apply your scientific expertise to the development of early, noninvasive tests for cancer detection. With a strong background in NGS assay development, bioinformatics, statistics, and molecular biology, you will design and execute research studies to drive early research of prototype cancer early detection products using cfDNA as biomarker. You will work closely and cross-functionally with many teams, including Molecular Research and Development, Model R&D,  and Computational Biology, Assay Development to enable the concept and feasibility of multiple molecular assays as part of Freenome’s diagnostic products. The role reports to a Manager and Senior Staff Computational Biologist. This position can be a hybrid or fully remote role. What you’ll do: - Lead the analysis and interpretation of molecular and clinical data in the context of early cancer detection, serving as a key thought leader on the Computational Science team. - Suggest research hypotheses and areas for potential computational model and assay improvement; then plan, scope, and execute associated research in partnership with a multidisciplinary team, owning projects from ideation through implementation. - Develop bioinformatics pipelines to enable high throughput NGS data processing and analysis. - In collaboration with wet lab scientists, rapidly characterize and iterate on experimental methods by providing real-time assessments of assay performance, quality control, and clinical/diagnostic utility. - Remain at the forefront of molecular techniques in oncology, and collaborate with the larger team to bring forward the next generation of assays for early cancer detection. Must haves: - PhD degree in computational biology, cancer biology, statistics, bioinformatics, or related quantitative field. - 6+ years of scientific industry experience applying computational techniques for biological discovery and product development, ideally to cancer or diagnostics applications in industry. - Extensive experience in NGS assay and pipeline development. Demonstrated track record of implementing complex workflows for high throughput NGS data processing. - Strong quantitative reasoning and data analysis skills, with a demonstrated ability to apply them effectively to relevant scientific problems. - Strong computational and programming skills, including thorough experience with Python statistical packages (Numpy, Matplotlib, Pandas) or equivalents in other languages like R. - Excellent oral and written communication skills to communicate to both scientific and broader audiences. - Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists. Nice to haves: - Expert knowledge of chromatin biology, liquid biopsy, DNA methylation and their relevance in cancer early detection. - Extensive experience working with DNA methylation data for biomarker discovery research. - Experience in developing, applying, and evaluating statistical and/or machine learning algorithms. Benefits and additional information: The US target range of our base salary rate for new hires is $188,275 - $270,375. You will also be eligible to receive equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered.  Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ [freenome.com/job-openings/](http://freenome.com/job-openings/) for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. - https://www.dol.gov/agencies/whd/posters/fmla - https://www.dol.gov/agencies/ofccp/posters - https://www.dol.gov/agencies/whd/posters/employee-polygraph-protection-act California applicants please review the CCPA Notice at Collection here: - https://www.freenome.com/ccpa-privacy-notice-for-freenome-california-job-applicants/ ## #LI-REMOTE ## About Freenome ## Company Overview - **One-liner**: Freenome is a biotechnology company developing blood-based multi-omics tests powered by machine learning to detect cancer in its earliest, most treatable stages. - **Entity Type**: Private (Late Stage) – raised over $2B in total funding; stock symbol FRNM (NASDAQ) is associated with a related SPAC entity but the operating company remains privately held [linkedin.com] - **Headquarters**: Brisbane, California, United States - **Founded**: 2014 - **Founders**: Riley Ennis (Co-Founder and Chief Product Officer) and others [freenome.com] ## Core Business - **Primary industry**: Biotechnology / Early Cancer Detection - **Target customers**: B2B (health systems, insurers, employers) and B2C (patients via healthcare providers) - **Mission**: To create tools that empower everyone to prevent, detect, and treat their disease, starting with early cancer detection. ## Products & Services - **Freenome Multi-Omics Blood Test (Colorectal Cancer)**: A next-generation blood test that uses a multi-omics platform (cell-free DNA, methylation, proteins, etc.) combined with machine learning to detect early-stage colorectal cancer and advanced adenomas. Type: Diagnostic test (IVD) – currently under clinical validation and regulatory review [freenome.com]. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed (private). Total funding of $2.07B (LinkedIn estimate) or $1.428B (CB Insights); conflicting reports reflect different counting methods [linkedin.com], [cbinsights.com] - **Key Metric (Funding)**: Most recent round – $75M corporate round (Nov 2025) led by Roche, plus $254M venture round (Feb 2024) also led by Roche [linkedin.com] - **Notable Investors**: Perceptive Advisors, RA Capital Management, Roche Venture Fund, Kaiser Permanente, Novartis, American Cancer Society’s BrightEdge Ventures, Exact Sciences [linkedin.com], [freenome.com] - **Growth Signals**: - Blood-based test included in updated American Cancer Society colorectal cancer screening guideline - Appointed industry veteran Rob Guigley as Chief Commercial Officer (2025) - Ongoing clinical programs for multiple cancer types - Employee headcount of 304 with 22 active job postings (as of mid-2025) [linkedin.com] ## Competitive Advantages - **Multi-omics + AI platform**: Combines multiple biological signals (DNA methylation, fragmentomics, proteins) with proprietary machine learning algorithms to achieve high sensitivity and specificity for early-stage cancer. - **Strong clinical program**: Rigorous multi-site studies and partnerships with leading health systems (e.g., Kaiser Permanente). - **Deep investor backing**: Long-term support from top healthcare investors and strategic partners (Roche, Exact Sciences) provides capital and commercial pathways. - **First-mover in multi-cancer blood screening**: Focus on colorectal cancer as first indication, with potential to expand to other cancers. ## Strategic Focus - **Clinical validation & regulatory approval**: Completing pivotal studies and preparing FDA submission for colorectal cancer test. - **Commercial launch preparation**: Building commercial team (hiring Strategic Account Executives, VP Revenue Cycle Management) and establishing relationships with payers and health systems. - **Platform expansion**: Extending multi-omics technology to additional cancer types (lung, pancreatic, etc.) through research programs. ## Why Work Here - **Mission-driven culture**: Employees are motivated by the opportunity to “outpace cancer” and make a tangible impact on patient lives. Values include integrity, empathy, trust, servant leadership, and striving for greatness [freenome.com]. - **Equity ownership**: Every U.S. full-time employee receives equity packages, aligning personal success with company milestones [freenome.com/careers]. - **Competitive benefits**: Comprehensive medical plans, wellness programs, generous PTO, 12 paid holidays, annual bonus opportunities, and market-based salaries [freenome.com/careers]. - **Collaborative environment**: Cross-functional teams across clinical, scientific, and business domains; emphasis on respect and inclusion [freenome.com/careers]. - **Work model**: Likely office-based in Brisbane, CA (hybrid flexibility not explicitly stated). The company has a physical lab and office presence. - **Engineering & science culture**: Opportunity to work with state-of-the-art multi-omics data, machine learning, and clinical trial design. The team includes senior ML scientists, computational biologists, and software engineers. ## Sources 1. [freenome.com](https://www.freenome.com/) – Company overview, leadership, values, products 2. [freenome.com/careers](https://www.freenome.com/careers/) – Benefits, culture, job openings 3. [linkedin.com/company/freenome](https://www.linkedin.com/company/freenome) – Employee count, revenue estimate, funding rounds, investor list, recent hires and departures 4. [cbinsights.com/company/freenome](https://www.cbinsights.com/company/freenome) – Funding total, company description, patent activity ## Other roles at Freenome - [Help Desk Specialist (Contractor)](https://feeny.ai/job/help-desk-specialist-contractor-freenome-brisbane-ypj66zndzpfp) — Brisbane, CA - [Senior Bioinformatics Research Engineer](https://feeny.ai/job/senior-bioinformatics-research-engineer-freenome-brisbane-jqm79zg6pz00) — Brisbane, CA - [Senior Development Scientist I](https://feeny.ai/job/senior-development-scientist-i-freenome-brisbane-q9tqegw3c6c4) — Brisbane, CA - [Senior Research Associate](https://feeny.ai/job/senior-research-associate-freenome-brisbane-tsgfk8fbvpav) — Brisbane, CA - [Computational Biologist](https://feeny.ai/job/computational-biologist-freenome-remote-989vnftsd0w5) - [Strategic Account Executive (South)](https://feeny.ai/job/strategic-account-executive-south-freenome-remote-yr0frzr784de) - [Senior Director, Real World Data (RWD)](https://feeny.ai/job/senior-director-real-world-data-rwd-freenome-remote-djm04bx8qkbm) - [Vice President, Product Management](https://feeny.ai/job/vice-president-product-management-freenome-brisbane-sk773jd0f1tq) — Brisbane, CA - [Research Associate I/II](https://feeny.ai/job/research-associate-i-ii-freenome-brisbane-b2v3jsj88dmn) — Brisbane, CA - [Research Scientist I/II](https://feeny.ai/job/research-scientist-i-ii-freenome-brisbane-t4ngtdsjkvhc) — Brisbane, CA