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Computational Biologist

Freenome

131,325 - 189,525 / year

RemoteFull-timeHybridIntermediate

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Description

About this opportunity:

At Freenome, we are seeking a Computational Biologist, Assay Development to help grow the Freenome’s Computational Biology, Assay Development (CBAD) team (can be a Senior Computational Biologist role depending on experience). 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 bioinformatics, statistics, and molecular biology, you will develop, write, and execute analysis plans and reports for the development and characterization of Freenome’s in vitro diagnostic devices and regulatory filings. You will work closely and cross-functionally with many teams, including Regulatory and Quality, Molecular Research and Development, Laboratory Operations, Biostatistics, Computational Science, and Engineering to enable the successful development of multiple molecular assays as part of Freenome’s diagnostic products.

The role reports to the Director of Computational Biology. This position can be a hybrid or fully remote role.

What you’ll do:

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

Must haves:

  • Post-graduate degree (MS or PhD) in statistics, computational biology, bioinformatics, cancer biology, or related quantitative field.
  • 2-3+ years of industry experience (for Sr. Scientist level)
  • Experience in experimental design and analysis of high-throughput, quantitative technologies in genomics, epigenomics, transcriptomics, or proteomics (e.g. target capture with UMI, Hi-C, ATAC-seq, RNA-seq, bisulfite sequencing, microarrays, mass spec, immunoassays).
  • Familiarity with and ability to select and leverage bioinformatics tools for the above molecular assays.
  • Experience in applied statistics, such as in hypothesis testing, regression techniques, and appropriate use of simulation.
  • Expertise in data analysis and visualization using R (tidyverse), or Python statistical packages (Numpy, Matplotlib, Pandas), or equivalent, under version control.
  • Excellent oral and written communication skills to communicate to scientific and broader audiences, with keen attention to detail.
  • Ability to work on a cross-functional team in our highly collaborative environment, working with both computational and experimental scientists.

Nice to haves:

  • Experience in the development of diagnostic devices in a regulated environment (PMA, 510(k), CE-IVD) preferred (for Sr. Scientist level).

Benefits and additional information:

The US target range of our base salary for new hires is $131,325 - $189,525. 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/ 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.  

California applicants please review the CCPA Notice at Collection here:

#LI-Remote

Benefits

  • stock options

About this role

Freenome is developing blood-based cancer screening tests, and this role sits at the intersection of computational analysis and assay development. You'd be responsible for designing and executing experiments that characterize their multiomics diagnostic devices, then translating those results into analysis plans and reports that support regulatory submissions. The work spans from raw data interpretation through validation studies, requiring you to move fluidly between experimental design, statistical rigor, and cross-functional collaboration with teams in regulatory, quality, molecular research, and biostatistics.

The position demands a strong quantitative foundation—a graduate degree in statistics, computational biology, bioinformatics, or a related field—plus hands-on experience analyzing high-throughput molecular data (genomics, transcriptomics, proteomics, or similar). You'll need to be comfortable selecting and using bioinformatics tools, writing analysis code in R or Python, and translating complex results for both scientific and non-technical audiences. If you have 2–3+ years in industry and familiarity with regulated diagnostic development (PMA, 510(k) pathways), you'd be positioned for a senior-level role; otherwise, this could be an entry point into that space.

The salary range is $131,325–$189,525, with equity and benefits included. The role is hybrid or fully remote, reporting to the Director of Computational Biology.

How this employer is doing

solid

  • Expanding
  • New Product/Innovation
  • Recent Acquisition

Typical pay for this role

$140,000

Typical range: $120,000 to $140,000

Pay for this role

$131,325 to $189,525 per year

That is the employer's posted range, and where you land in it is usually decided in one conversation. Before that conversation, run the numbers: analyze an offer for this role.

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