H-1B Visa Data Scientist Jobs
Data Scientist roles qualify as H-1B visa specialty occupations under USCIS guidelines, requiring at least a bachelor's degree in statistics, computer science, or a directly related field. Tech, finance, and healthcare employers file LCAs with DOL before sponsoring, and the annual H-1B visa cap means timing your job search around the April lottery window matters.
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The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science. This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed. The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research.
Key Responsibilities
2. Analyze, curate, and manage research data
- Perform bioinformatics and data science analyses. The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:
- Proteomics
- Metabolomics
- Methylomics
- Survey data
- Integrative multi-omics datasets
- Human biological aging and omics-clock data
- Drug repurposing analyses
- Enrichment and pathway analyses
- Dimensionality reduction and clustering
- Classification methods, including random forests and support vector machines
- Neural network-based approaches
- Simple and multiple linear regression
- Parametric and non-parametric statistical analyses
Responsibilities will include:
- Curating, organizing, and preparing data for analysis and upload to central repositories
- Supporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreements
- Reviewing and improving standard operating procedures for data transfer, quality control, and management
- Coordinating with internal and external teams to ensure timely collection, transfer, and analysis of data
- Attending project meetings and contributing to improvements in data workflows, systems, and documentation
- Ensuring data quality, reproducibility, and compliance with project requirements
3. Collaborate with scientific and administrative teams
The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include:
- Contributing to grant applications, progress reports, and scientific proposals
- Supporting manuscript preparation and journal article writing
- Creating publication-quality figures, tables, and data visualizations
- Presenting analyses and findings to interdisciplinary research teams
- Helping translate complex computational results into clear biological and scientific interpretations
Qualifications
Required Education and Experience
- Strong background in both human biology and bioinformatics
- PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related field
- Minimum of 2 years of professional experience in a biological, biomedical, or computational research environment
- Strong proficiency in R, Python, and Bash scripting
- Demonstrated experience analyzing biological or biomedical datasets
- Experience developing, implementing, and running bioinformatics workflows
Required Skills
- Strong analytical, mathematical, and creative problem-solving skills
- Excellent written and oral communication skills
- Ability to work both independently and collaboratively in a team-based research environment
- Strong organizational skills and attention to detail
- Ability to prioritize and execute multiple tasks across concurrent projects
- Experience with reproducible data analysis practices and documentation
- Ability to communicate technical results to both computational and non-computational audiences
- Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows
Preferred Qualifications
- Experience with FDA approval process
- Experience with building apps
Compensation And Benefits
- Salary range: $80,000–$85,000, commensurate with experience
- Full-time, onsite position
- Exciting, collaborative work environment at the forefront of aging research
- Opportunity to work with state-of-the-art technologies and interdisciplinary scientific teams
- Generous benefits package, including:
- Health insurance
- Paid parental leave
- Generous paid time off
- 401(k) with 5% employer match
- Work visa sponsorship available for qualified candidates
About The Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application. Please upload both:
- Your CV
- A brief statement of research interests, including the names and contact information for three references
Position Summary
The Buck Institute for Research on Aging is seeking a full-time Bioinformatics and Data Scientist or Postdoctoral Researcher to join a collaborative research team focused on aging, multi-omics, computational biology, and translational data science. This position offers a unique opportunity to work in an academic research environment with a close-knit, interdisciplinary team while collaborating with leading experts in aging biology, bioinformatics, clinical research, and computational science. The successful candidate will contribute to a five-year government-funded project focused on advancing computational and multi-omics approaches to better understand human aging, biological resilience, and healthspan. This role will support broader nationwide efforts to develop data-driven approaches that may ultimately improve how aging and age-related disease risk are measured, modeled, and addressed. The ideal candidate will have strong experience in bioinformatics, statistics, computational biology, human omics data analysis, and scientific communication. The position is well suited for an independent, highly motivated scientist who enjoys working across disciplines and contributing to both discovery-driven and translational research.
Key Responsibilities
2. Analyze, curate, and manage research data
- Perform bioinformatics and data science analyses. The successful candidate will analyze diverse biological and clinical datasets, including but not limited to:
- Proteomics
- Metabolomics
- Methylomics
- Survey data
- Integrative multi-omics datasets
- Human biological aging and omics-clock data
- Drug repurposing analyses
- Enrichment and pathway analyses
- Dimensionality reduction and clustering
- Classification methods, including random forests and support vector machines
- Neural network-based approaches
- Simple and multiple linear regression
- Parametric and non-parametric statistical analyses
Responsibilities will include:
- Curating, organizing, and preparing data for analysis and upload to central repositories
- Supporting data harmonization across projects, cohorts, and collaborators in accordance with data use agreements
- Reviewing and improving standard operating procedures for data transfer, quality control, and management
- Coordinating with internal and external teams to ensure timely collection, transfer, and analysis of data
- Attending project meetings and contributing to improvements in data workflows, systems, and documentation
- Ensuring data quality, reproducibility, and compliance with project requirements
3. Collaborate with scientific and administrative teams
The candidate will work closely with staff members, research scientists, computational biologists, principal investigators, and external collaborators. Responsibilities may include:
- Contributing to grant applications, progress reports, and scientific proposals
- Supporting manuscript preparation and journal article writing
- Creating publication-quality figures, tables, and data visualizations
- Presenting analyses and findings to interdisciplinary research teams
- Helping translate complex computational results into clear biological and scientific interpretations
Qualifications
Required Education and Experience
- Strong background in both human biology and bioinformatics
- PhD in Computational Biology, Bioinformatics, Data Science, Biostatistics, Systems Biology, Computer Science, or a related field
- Minimum of 2 years of professional experience in a biological, biomedical, or computational research environment
- Strong proficiency in R, Python, and Bash scripting
- Demonstrated experience analyzing biological or biomedical datasets
- Experience developing, implementing, and running bioinformatics workflows
Required Skills
- Strong analytical, mathematical, and creative problem-solving skills
- Excellent written and oral communication skills
- Ability to work both independently and collaboratively in a team-based research environment
- Strong organizational skills and attention to detail
- Ability to prioritize and execute multiple tasks across concurrent projects
- Experience with reproducible data analysis practices and documentation
- Ability to communicate technical results to both computational and non-computational audiences
- Interest in applying large language models, agentic AI, or related computational tools to biomedical research workflows
Preferred Qualifications
- Experience with FDA approval process
- Experience with building apps
Compensation And Benefits
- Salary range: $80,000–$85,000, commensurate with experience
- Full-time, onsite position
- Exciting, collaborative work environment at the forefront of aging research
- Opportunity to work with state-of-the-art technologies and interdisciplinary scientific teams
- Generous benefits package, including:
- Health insurance
- Paid parental leave
- Generous paid time off
- 401(k) with 5% employer match
- Work visa sponsorship available for qualified candidates
About The Buck Institute
Our success will ultimately change healthcare. At the Buck Institute for Research on Aging, we aim to end the threat of age-related diseases for this and future generations by bringing together the most capable and passionate scientists from a broad range of disciplines to identify and impede the ways in which we age. The Buck is an independent, nonprofit institution located in Marin County, California, with the goal of increasing human healthspan, or the healthy years of life. Globally recognized as a pioneer and leader in efforts to target aging — the number one risk factor for diseases including Alzheimer’s disease, Parkinson’s disease, cancer, macular degeneration, heart disease, and diabetes — the Buck seeks to help people live better longer. We are an equal opportunity employer and strive to create an atmosphere where diversity of identity, experience, and background are welcomed, valued, and supported. Candidates who contribute to this diversity are strongly encouraged to apply.
To Apply
Interested candidates should click the Apply button to complete the online application. Please upload both:
- Your CV
- A brief statement of research interests, including the names and contact information for three references
See all 784+ H-1B Visa Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Data Scientist Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Data Scientist
Verify your degree field matches the role
USCIS requires a direct relationship between your degree and the Data Scientist position. A degree in statistics, mathematics, or computer science maps cleanly. A degree in an unrelated field increases RFE risk, so document how your coursework connects to the role before applying.
Use OFLC Wage Search before salary negotiations
Your employer's LCA must certify a wage at or above the DOL prevailing wage for your specific SOC code and work location. Pull the OFLC Wage Search figures for SOC 15-2051 in your target metro before you enter offer discussions.
Target cap-exempt employers for faster timelines
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt, meaning they can file your H-1B petition any time of year without entering the lottery. If lottery timing creates a gap in your authorization, these employers eliminate that risk entirely.
Find H-1B sponsors using Migrate Mate
Search Data Scientist roles on Migrate Mate to filter directly for employers with verified H-1B LCA filing history. You'll see which companies have sponsored this role before, letting you focus applications on confirmed sponsors rather than guessing from job postings.
Request premium processing if your OPT end date is tight
USCIS premium processing upgrades adjudication to 15 business days. If your OPT expires close to October 1 and your employer files in April, premium processing reduces the risk of a gap before your H-1B takes effect. Ask your employer to include it in the petition.
Pull your O*NET profile before the specialty occupation assessment
Employers and attorneys use O*NET to document that Data Scientist roles require a specific bachelor's degree. Review the O*NET occupation profile for your SOC code early so you can align your job description and offer letter language with what USCIS expects to see.
H-1B Visa Data Scientist: Frequently Asked Questions
Does a Data Scientist role qualify as an H-1B specialty occupation?
Yes. USCIS consistently recognizes Data Scientist positions as specialty occupations because the role requires at least a bachelor's degree in a directly related field such as statistics, computer science, mathematics, or data science. Your employer will document this in the H-1B petition using your job description and degree credentials. Roles where any bachelor's degree is accepted regardless of field are harder to qualify, so your offer letter should specify the required degree discipline.
Which employers sponsor H-1B visas for Data Scientists?
Technology companies, financial institutions, healthcare systems, and large consulting firms are among the most active H-1B sponsors for Data Scientist roles. Employers must file a Labor Condition Application with DOL before petitioning USCIS, so prior LCA filings are a reliable proxy for sponsorship willingness. Migrate Mate surfaces employers with verified H-1B filing history for this role, so you can focus your search on confirmed sponsors.
How does the H-1B lottery affect my Data Scientist job search timeline?
USCIS opens H-1B registration each March for the fiscal year starting October 1. If your employer submits a registration and you're selected, the petition can be filed between April and June with an October 1 start date. Cap-exempt employers, including universities and nonprofit research organizations, aren't subject to the lottery and can file year-round, which is worth factoring into your job search if you're on a tight authorization timeline.
What wage level should I expect on my H-1B LCA as a Data Scientist?
Your employer's LCA must certify a wage at or above the DOL prevailing wage for the Data Scientist SOC code in your specific work location. Prevailing wages are tiered from Level I through Level IV based on experience and complexity. You can look up the applicable figures using the OFLC Wage Search tool before entering salary negotiations, which helps you evaluate whether an offer satisfies the LCA requirement.
Can I change employers while on an H-1B as a Data Scientist?
Yes. H-1B portability under AC21 lets you start working for a new employer once they file an H-1B transfer petition on your behalf, without waiting for approval, as long as your current H-1B has been approved for at least 180 days and the new role is in a same or similar occupational classification. Data Scientist to Data Scientist transfers are straightforward. Your new employer must file a new LCA and H-1B petition before or when you start.