Senior Bioinformatics Scientist Jobs in USA with Visa Sponsorship
Senior Bioinformatics Scientists rank among the stronger H-1B visa candidates, the role requires a directly related graduate degree in computational biology, bioinformatics, or a related field, and USCIS consistently recognizes it as a specialty occupation. Biotech, pharma, and research institutions sponsor regularly. For detailed occupation requirements, see the O*NET profile.
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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 1,568+ Senior Bioinformatics Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Bioinformatics Scientist roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Bioinformatics Scientist
Target biotech and pharma employers with established R&D pipelines
Large biopharmaceutical companies and well-funded biotech startups sponsor H-1B visas far more consistently than academic labs or early-stage startups. Focus your search on companies with active drug development programs and dedicated computational biology teams.
Lead with your degree field, not just your job title
USCIS approves H-1B petitions for bioinformatics roles based on degree-to-job alignment. A master's or PhD in bioinformatics, computational biology, or genomics strengthens your petition significantly. Computer science degrees without biological focus can complicate the specialty occupation argument.
Document your tool stack and domain expertise explicitly
Sponsoring employers need to write a detailed job description for the LCA and I-129. Roles requiring specific skills like GATK, Nextflow, or single-cell RNA-seq analysis are easier to defend as requiring a specialized degree than generic 'data analysis' descriptions.
Research institutions and national labs are underrated sponsors
NIH-affiliated research centers, university medical schools, and national laboratories like Broad Institute regularly sponsor senior bioinformatics roles. These organizations often use cap-exempt H-1B petitions, meaning no lottery and faster processing timelines than commercial employers.
A senior title signals a stronger specialty occupation case
Senior-level bioinformatics roles carry more weight in H-1B adjudications than entry-level positions. The seniority implies complexity and independent judgment, both of which support the argument that a theoretical and practical application of specialized knowledge is required.
Check an employer's H-1B filing history before applying
Not every biotech or research company has sponsored visas before. Prioritizing employers with a track record of successful H-1B filings in computational biology or life sciences reduces the risk of delays, RFEs, or an employer backing out mid-process.
Frequently Asked Questions
Does a Senior Bioinformatics Scientist role qualify for H-1B sponsorship?
Yes. Senior Bioinformatics Scientist is consistently approved as a specialty occupation under H-1B visa. USCIS recognizes that the role requires at least a bachelor's degree, and typically a graduate degree, in a directly related field such as bioinformatics, computational biology, or genomics. Employers in pharma, biotech, and research institutions sponsor this role with a relatively low rate of requests for evidence compared to more ambiguous job titles.
What degree do I need for an employer to sponsor my H-1B as a bioinformatics scientist?
A master's or PhD in bioinformatics, computational biology, genomics, or a closely related field gives you the strongest petition. A bachelor's degree in those same fields is technically sufficient, but graduate credentials are common at the senior level and make the specialty occupation argument easier for your employer's immigration attorney to build. A computer science degree without significant biological coursework may trigger additional scrutiny.
Are there cap-exempt H-1B options for senior bioinformatics roles?
Yes, and they're worth pursuing. Universities, university-affiliated research hospitals, and nonprofit research organizations like the Broad Institute or Jackson Laboratory qualify as cap-exempt H-1B employers. That means no lottery, no April 1 filing window, and petitions can be filed year-round with faster adjudication. Many senior bioinformatics positions exist at these institutions, and sponsorship is routine.
How do I find Senior Bioinformatics Scientist jobs that offer visa sponsorship?
Migrate Mate filters job listings specifically for roles open to visa sponsorship, which saves significant time compared to manually screening postings. Biotech hubs like Boston, San Francisco, San Diego, and the Research Triangle in North Carolina concentrate the highest density of sponsoring employers for bioinformatics roles. Searching by location and seniority level on Migrate Mate gives you a shortlist of employers already willing to sponsor.
Can an O-1A visa work for a Senior Bioinformatics Scientist instead of H-1B?
Possibly, if you have a strong publication record, have presented at major conferences, or hold leadership roles in professional organizations. The O-1A requires evidence of extraordinary ability, which in bioinformatics could include high-citation publications, significant grants, or recognized contributions to genomics or computational methods. It's a viable path if you missed the H-1B lottery and have the credentials to support it.
What is the prevailing wage requirement for sponsored Senior Bioinformatics Scientist jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.