STEM OPT Data Engineer Jobs
Data Engineer roles sit squarely within STEM OPT eligibility, letting you work for up to 36 months total on F-1 authorization as long as your employer is enrolled in E-Verify. Your 24-month extension kicks in after the initial 12-month OPT period, giving you a long runway to build production-grade pipelines and transition to long-term sponsorship.
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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 916+ STEM OPT Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Data Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Engineer
Verify your CIP code before applying
STEM OPT eligibility depends on your degree's CIP code, not just the field name on your diploma. Cross-check your school's recorded CIP code against USCIS's official STEM Designated Degree Program List before you accept any offer.
Filter employers by E-Verify enrollment status
Your STEM OPT extension is void if your employer isn't enrolled in E-Verify. Confirm enrollment through the official E-Verify employer search before signing an offer, not after. Many startups and smaller data teams aren't enrolled yet.
Target companies with active LCA filings for data roles
Employers who have filed Labor Condition Applications for Data Engineer or Data Analyst roles have already navigated DOL wage and compliance requirements. That track record signals they understand the full STEM OPT-to-H-1B visa pipeline and won't treat your authorization as a blocker.
Build your I-983 training plan around real deliverables
Your I-983 must map STEM learning objectives to specific job duties, not generic descriptions. Draft it around concrete deliverables like pipeline architecture, data modeling work, or ML infrastructure so your DSO can certify it without revision cycles.
Use Migrate Mate to identify E-Verify employers hiring data engineers
Search Migrate Mate to find Data Engineer roles at employers with verified sponsorship history. The platform surfaces DOL Labor Condition Application data by role and employer so you can target companies already familiar with STEM OPT workflows before you apply.
Time your H-1B registration to cover your OPT end date
If USCIS selects your H-1B registration before your STEM OPT expires, cap-gap protection extends your work authorization through September 30. Missing the registration window means a gap in authorization even if you have a valid offer and an enrolled employer.
Frequently Asked Questions
Does a Data Engineer role qualify for the STEM OPT extension?
Yes, if your degree's CIP code appears on USCIS's STEM Designated Degree Program List. Degrees in computer science, information systems, electrical engineering, applied mathematics, and statistics are common qualifying fields for Data Engineer roles. The job title alone doesn't determine eligibility; your recorded degree CIP code does. Confirm the code with your DSO before submitting your extension application.
What E-Verify requirement applies to my STEM OPT employer?
Every employer that hires you under a STEM OPT extension must be actively enrolled in E-Verify, not just registered. Enrollment must be in place before your extension start date. You can confirm enrollment through the official E-Verify employer search tool. If your employer loses enrollment or is debarred during your extension period, you must stop working and report the change to your DSO within five business days.
What should my I-983 training plan include for a Data Engineer position?
Your I-983 must connect specific STEM learning objectives to actual job duties. For a Data Engineer role, that means documenting work on tasks like building ETL pipelines, designing data warehouses, implementing data quality frameworks, or developing ML infrastructure. Generic descriptions like 'working with data' won't satisfy USCIS review standards. Your employer's supervisor must sign the plan, and your DSO certifies it before your extension is approved.
How does cap-gap protection work if I'm a Data Engineer on STEM OPT?
If your employer files an H-1B petition on your behalf and USCIS selects it in the lottery before your STEM OPT authorization expires, cap-gap automatically extends your work authorization through September 30 of that year. You can keep working as a Data Engineer during that window without any interruption. If your petition isn't selected or your employer misses the filing deadline, cap-gap doesn't apply and your work authorization ends with your STEM OPT.
How do I find Data Engineer jobs at employers who support STEM OPT?
Search Migrate Mate to browse Data Engineer roles at employers with documented Labor Condition Application filing history. LCA data from DOL shows which companies have already gone through the wage attestation and compliance process for similar roles, which is a reliable signal that they're set up to support STEM OPT extensions and eventual H-1B sponsorship. Filter results to E-Verify-enrolled employers before you apply.