Entry Level Computational Biologist Jobs
New grad computational biologist jobs attract recent graduates and entry level candidates with zero to two years of experience, where strong internship work or a research portfolio often carries more weight than a lengthy resume. Most openings are on-site roles across Biotechnology & Pharmaceuticals, Education, and Technology & Software, with employers like Freenome, Proxima, and Oakland University hiring at this level now.
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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)
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)
See All 6 Entry Level Computational Biologist Jobs
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Entry Level Computational Biologist Jobs: Frequently Asked Questions
How do I get an entry level computational biologist job?
Focus on building a portfolio of real projects: genome analysis pipelines, RNA-seq workflows, or machine learning models applied to biological data. Employers at this level look for hands-on experience with Python, R, or Bioconductor, and familiarity with public databases like NCBI or Ensembl. A strong GitHub repository and any internship, co-op, or undergraduate research experience meaningfully improve your chances against other entry level applicants.
Which companies hire entry level computational biologists?
Companies hiring entry level computational biologists right now include Freenome, Proxima, and Oakland University, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a broad mix of biotech startups, pharmaceutical research divisions, academic medical centers, and government research institutions actively building out their computational science teams.
Are there remote entry level computational biologist jobs?
Yes, though on-site and hybrid roles remain common at this stage given the lab-adjacent nature of some positions. About 33% of entry level computational biologist openings are remote or hybrid as of November 2026, concentrated largely in software-heavy roles focused on bioinformatics pipelines, data analysis, and algorithm development rather than wet-lab support work.
Are these new grad computational biologist jobs?
Yes, the openings on this page include new grad, recent graduate, and junior computational biologist roles. A posting is typically new-grad friendly when it welcomes zero to two years of experience, counts internships or undergraduate research toward that requirement, or explicitly accepts a strong portfolio in place of full-time professional history. Look for language like 'entry level,' 'new grad,' or 'junior' in the job description.
Which industries hire the most entry level computational biologists?
Entry Level computational biologist roles concentrate in Biotechnology & Pharmaceuticals, Education, and Technology & Software, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively scaling data-intensive research programs that require computational talent but do not always require the domain depth that only comes with years of specialized industry experience.