Joblaze summary

The Computational Biologist at Freenome focuses on developing noninvasive cancer detection tests by planning and executing experiments and analysis plans. This role requires expertise in bioinformatics, statistics, and molecular biology, with proficiency in tools like R or Python for data analysis. Ideal candidates have a post-graduate degree and 2-3 years of industry experience, particularly in high-throughput genomics or proteomics. The position involves collaboration across various teams to support the regulatory development of diagnostic products.

Joblaze insights

Listed yesterday — first seen on Joblaze November 6, 2026. Last confirmed on Freenome's careers page November 6, 2026.
This exact title is also open at 1 other location at Freenome: Remote.
Salary band is in line with the typical range for comparable tech roles (median ~$127,500).
Starts above 28% of 345 comparable senior other roles that list Python we track (median $150,000 across 64 companies). See Python salary trends
Python appears in 15.1% of 4205 comparable senior other roles; bioinformatics appears in 0.1% of 4205 comparable senior other roles.

Quick facts

Is the Computational Biologist role remote?: Yes — Freenome lists this as a fully remote position.
What's the salary range?: Freenome lists $131,325–$189,525 for this role.
How much experience is required?: 2–3 years of relevant experience for this Computational Biologist role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Python, R, Statistics, bioinformatics, molecular biology.
What seniority level is this role?: Freenome targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Computational Biologist role at Freenome.

From the original posting

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.

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Computational Biologist

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