H-1B Visa Computational Biologist Jobs
Computational Biologist jobs qualify as H-1B visa specialty occupations because the role requires at least a bachelor's degree in computational biology, bioinformatics, or a closely related field. Sponsors file a Labor Condition Application with DOL and an I-129 petition with USCIS, granting status for up to three years with extensions available.
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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 H-1B Visa Computational Biologist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Computational Biologist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Computational Biologist
Map your degree to the LCA
Your degree field must directly correspond to computational biology duties in the LCA. If your credential is in statistics or computer science rather than biology, document how your coursework covers genomics or molecular modeling before USCIS reviews the petition.
Look up prevailing wages by worksite
Use the OFLC Wage Search to pull the Level I through Level IV wage for SOC code 19-1029 at each specific worksite location. Your offered salary must meet the certified wage at every facility listed on the LCA, not just your primary office.
Find sponsors through Migrate Mate
Search Migrate Mate for employers with verified H-1B LCA filing history in computational biology and bioinformatics roles. Targeting companies that have filed for this occupation before signals they understand the specialty occupation standard and can move quickly.
Confirm bioinformatics tools in the job description
Employers must demonstrate the role requires specialized degree-level knowledge. Push hiring managers to name specific platforms like genome assembly pipelines or protein structure software in the job description, which strengthens the specialty occupation argument in the I-129 filing.
Account for cap timing in your start date
H-1B cap selection rules have changed recently, so coordinate your expected offer timeline with your employer's HR team early. If you're on OPT, confirm your EAD expiration date against realistic USCIS adjudication timelines to avoid an authorization gap.
Review O*NET before the LCA is filed
O*NET lists the core tasks and knowledge requirements for this occupation. Cross-check your actual job duties against that profile before your employer files the LCA so the position description aligns with what USCIS expects for a computational biology specialty occupation.
H-1B Visa Computational Biologist: Frequently Asked Questions
Does a Computational Biologist role qualify as an H-1B specialty occupation?
Yes. Computational biology requires at least a bachelor's degree in computational biology, bioinformatics, computer science with a biology concentration, or a closely related field, which satisfies the specialty occupation definition. Employers document this connection in the I-129 petition by tying specific job duties to degree-level knowledge in molecular data analysis, algorithm development, or genomic research.
Which employers sponsor H-1B visas for Computational Biologist positions?
Pharmaceutical companies, biotech firms, academic medical centers, and government research institutions account for the majority of LCA filings in this occupation. Migrate Mate lets you browse employers with verified H-1B filing history for computational biology roles so you can focus applications on organizations that have already navigated the sponsorship process.
What DOL wage level should a Computational Biologist expect on an H-1B LCA?
Most early-career positions are certified at Level I or Level II under the OFLC prevailing wage system, while senior or principal scientists typically fall at Level III or IV. Use the OFLC Wage Search with SOC code 19-1029 and your specific worksite zip code to verify which level applies before accepting an offer, since the LCA wage is a floor, not a ceiling.
Can a Computational Biologist on H-1B work at multiple lab sites?
Each worksite requires its own certified LCA before work begins at that location. If your role involves rotating between a corporate campus and a university research facility, your employer must file separate LCAs for each address. Working at an unlisted site before certification is a compliance violation that can jeopardize your status.
How long does H-1B status last for a Computational Biologist?
USCIS grants H-1B status for up to three years on an initial approval, with one extension available for a total maximum of six years. If your employer begins the green card process early enough, specific provisions under AC21 allow extensions beyond six years while an immigrant visa petition is pending.