Remote Computational Biologist Jobs
Remote Computational Biologist jobs are open across the U.S. at remote-first biotech firms, pharmaceutical companies, and distributed research teams working in genomics, drug discovery, and bioinformatics. Employers hiring remotely right now include Freenome, Colgate-Palmolive, and Owkin. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 6+ Remote Computational Biologist jobs
About this opportunity:
At Freenome, we are seeking a Computational Biologist I, 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 Aaron Richardson. 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.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
California applicants please review the CCPA Notice at Collection here:
- California Consumer Privacy Act (CCPA)
#LI-Remote
About this opportunity:
At Freenome, we are seeking a Computational Biologist I, 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 Aaron Richardson. 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.
- Family & Medical Leave Act (FMLA)
- Equal Employment Opportunity (EEO)
- Employee Polygraph Protection Act (EPPA)
California applicants please review the CCPA Notice at Collection here:
- California Consumer Privacy Act (CCPA)
#LI-Remote
See All 6 Remote Computational Biologist Jobs
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Find JobsRemote Computational Biologist Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote computational biologist jobs.
- PhD or Master's degree in computational biology, bioinformatics, or a related quantitative field
- Proficiency in Python and R for biological data analysis and pipeline development
- Experience with genomic data types including RNA-seq, WGS, ChIP-seq, or single-cell sequencing
- Familiarity with high-performance computing environments and workflow managers such as Snakemake or Nextflow
- Knowledge of statistical methods for analyzing large-scale biological datasets
- Experience with biological databases and annotation resources such as Ensembl, UniProt, or NCBI
Tips for Your Remote Computational Biologist Job Search
Show async collaboration skills upfront
Remote computational biologist teams run on written communication. Put clear documentation habits, well-commented code, and experience with async tools like Slack or Confluence in your resume summary and cover letter so hiring managers see you can collaborate without in-person check-ins.
Build a public pipeline portfolio on GitHub
Remote employers can't watch you work, so your GitHub becomes your proof. Post reproducible analysis pipelines in Python or R, include README files explaining your methods, and link to any published outputs. Documented, runnable code signals exactly the self-direction remote roles require.
Apply early to remote roles that fit
Migrate Mate lists remote computational biologist openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through location-filtered results. Early applications matter because remote postings attract national pools quickly.
Prepare for asynchronous technical screens
Many remote computational biologist interviews include a take-home coding or analysis challenge instead of a live whiteboard. Practice writing clean, well-documented code under a time constraint, and expect to explain your design choices in a written summary rather than a verbal walkthrough.
Remote Computational Biologist Jobs: Frequently Asked Questions
How do I get a remote computational biologist job?
Target remote-first biotech companies, genomics startups, and pharmaceutical firms with distributed R&D teams, since these employers are most likely to hire computational biologists remotely. Remote hiring managers screen heavily for self-direction, clear written communication, and proficiency in Python, R, and cloud-based pipeline tools like Nextflow or Snakemake. A public GitHub repository showing reproducible analysis pipelines gives you a concrete edge over candidates with similar credentials.
Which companies hire remote computational biologists?
Companies hiring remote computational biologists right now include Freenome, Colgate-Palmolive, and Owkin, based on current remote listings on Migrate Mate as of November 2026. Remote openings for this role concentrate at remote-first biotech and genomics companies, distributed pharmaceutical R&D teams, and clinical-stage startups that build distributed scientific teams by design.
Can you get a remote computational biologist job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently with minimal hand-holding from day one. The clearest path in is through open-source contributions to bioinformatics tools, published analysis notebooks on GitHub, or academic research with documented computational methods. Remote-first genomics startups and contract research organizations sometimes hire junior computational biologists when candidates can show real, reproducible work.
Do you need a degree for remote computational biologist jobs?
Usually, yes, since most remote computational biologist roles list a bachelor's degree in bioinformatics, biology, or computer science as a baseline, and many research-focused roles prefer a master's or PhD. That said, remote employers weight demonstrated computational skills heavily, so a strong portfolio of genomic analysis pipelines, peer-reviewed contributions, or open-source tool development can complement or partially offset a non-traditional academic background.
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Find roles that match your experience and apply in just a few clicks.
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