Green Card Computational Biologist Jobs
Computational Biologist green card sponsorship follows the EB-2 or EB-3 employment-based path, requiring PERM labor certification before your employer files an I-140 petition. Advanced-degree professionals in genomics, bioinformatics, and systems biology are strong candidates, though nationals from high-demand countries should factor priority-date backlogs into their timeline.
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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 Green Card Computational Biologist Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Computational Biologist
Document your advanced degree field precisely
PERM requires your degree to directly relate to the Computational Biologist role. A bioinformatics or computational biology degree maps cleanly, but a general biology degree may need supplemental documentation showing relevance to algorithm development or genomic analysis.
Target employers with I-140 approval history
Use Migrate Mate to search for employers with verified employment-based green card sponsorship history in life sciences and research. Prioritize organizations that have filed for roles matching your SOC code, so you're not educating HR about the process.
Distinguish EB-2 and EB-3 based on your credentials
If your highest degree is a bachelor's plus five years of progressive computational biology experience, you qualify for EB-2 without a master's. Knowing your category before applying helps you evaluate whether a job posting's sponsorship commitment covers your specific pathway.
Verify prevailing wage alignment before accepting an offer
Run your offered salary against the OFLC Wage Search for your target metro and SOC code before signing. PERM requires the employer to pay at least the DOL prevailing wage, and a low offer can stall or invalidate the entire labor certification filing.
Check priority dates before changing employers mid-process
If your I-485 has been pending at least 180 days, AC21 portability lets you move to a same or similar occupation without losing your place in line. Confirm your new computational biology role qualifies under the same SOC classification before resigning.
Use O*NET to anchor your PERM job description
PERM recruitment must test the labor market for the specific role the employer is filling. Pulling the official task list and requirements from O*NET for Computational Biologists gives your employer's attorney a defensible baseline that reduces DOL audit risk.
Green Card Computational Biologist: Frequently Asked Questions
Does my employer have to do anything before filing my I-140 petition?
Yes. For most EB-2 and EB-3 Computational Biologist cases, the employer must first complete PERM labor certification with the Department of Labor. PERM involves a prevailing wage determination and a formal recruitment test proving no qualified U.S. worker was available. Only after DOL certifies the PERM application can the employer file the I-140 immigrant petition with USCIS.
How is green card sponsorship different from H-1B sponsorship for a Computational Biologist?
H-1B visa is a temporary nonimmigrant status requiring periodic renewal and carrying an annual lottery. Green card sponsorship under EB-2 or EB-3 leads to permanent residence, with no renewal and no lottery, but it requires PERM labor certification and can involve long priority-date backlogs for nationals of high-demand countries like India and China. The commitment from both sides is significantly greater.
Which green card category fits a Computational Biologist with a master's degree?
A master's in bioinformatics, computational biology, or a closely related field qualifies you for EB-2, which covers advanced-degree professionals. If your master's is in a less directly related discipline, your employer's attorney may build your case around a bachelor's degree plus five years of progressive computational biology experience, which also satisfies the EB-2 advanced-degree standard.
How do I find Computational Biologist roles where employers are already willing to sponsor a green card?
Search Migrate Mate for Computational Biologist positions with verified employment-based sponsorship history. Many life sciences employers sponsor H-1B transfers but stop short of green card commitment, so targeting those with a documented I-140 or PERM filing history for similar roles narrows your search to genuine sponsors and saves significant time in the outreach process.
What happens to my priority date if I change employers after my I-140 is approved?
Once your original I-140 is approved, you can carry that priority date to a new employer's I-140 petition, even after withdrawing from the original sponsoring employer. If your I-485 has been pending 180 days or more, AC21 portability also lets you move to a same or similar computational biology role without restarting the green card process from the beginning.