H-1B Visa Bioinformatician Jobs
Bioinformatician jobs at H-1B visa sponsoring employers sit firmly within specialty occupation territory, requiring at least a bachelor's degree in bioinformatics, computational biology, or a closely related field. Employers 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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The bioinformatician will develop algorithms and computational resources to analyze and interpret how dysregulated RNA splicing contributes to human disease. Working with the PI and experimental collaborators, the bioinformatician turns biomedical questions into algorithmic approaches, implements them as tested, reproducible software, and applies them to bulk, single-cell, spatial transcriptomic data. The bioinformatician takes scientific ownership of method development, taking novel approaches through benchmarking to peer-reviewed publication and open release. Results are interpreted mechanistically, linking splicing changes to their regulators and functional consequences, and used to propose and prioritize experimental validation. The bioinformatician presents findings internally and externally and works independently with limited supervision. The bioinformatician assists and collaborates with other lab members to advance their research, and helps update and maintain widely used pipelines and tools.
Key Responsibilities & Essential Functions
- Design, implement, test, and benchmark novel algorithms and statistical or machine-learning models for splicing analysis, such as event detection and quantification, differential splicing, isoform-level analysis, and prediction of variant effects on splicing.
- Lead method development through to manuscript-ready stage, serving as co-author on resulting publications.
- Apply these methods to patient-derived, model-system, and public datasets, bulk and single-cell, to identify disease-associated splicing alterations, their upstream drivers (trans-acting factors and cis-regulatory variants), and their downstream consequences.
- Integrate splicing data with other modalities, such as genomic variation, long-read transcriptomics, epigenomic, and proteomic data, to support mechanistic interpretation.
- Build version-controlled, containerized, documented pipelines (Nextflow) and release tools openly so that analyses are reproducible by external groups.
- Work with the PI and experimental collaborators to define questions, design validation experiments, and interpret results.
- Present pipelines, methods, and results at internal meetings and external conferences, and contribute to manuscripts and grant applications.
- Keep current with the splicing, RNA biology, and computational genomics literature, and mentor junior staff and trainees as needed.
Other Knowledge, Skills, and Abilities
- BS degree in Bioinformatics or relevant biological sciences degree + five years of professional bioinformatics work experience or MS degree in Bioinformatics or relevant biological sciences degree. Works under close supervision.
- PhD degree in bioinformatics, biology or a related field preferred.
- Deep knowledge of RNA biology and genomics, including splicing mechanisms, cis-regulatory elements, and splicing factors.
- Demonstrated experience with splicing analysis of transcriptomic data, including the limits and failure modes of these tools.
- Proficiency in Python, R, and Bash, and experience with workflow management (Nextflow).
- Experience developing algorithms in machine learning, statistics, or genomics, evidenced by novel methods or substantial extensions of existing ones.
- Software engineering practice: version control, automated testing, containerization, and documentation.
- Experience with single cell and/or spatial transcriptomics.
- Ability to read, critique, and apply the primary literature in fields related to current projects.
- Ability to lead projects and work independently with limited supervision.
- Clear written and oral communication of methods and results to scientific audiences.
- First-author publication in a peer-reviewed journal.
- Experience with HPC or cloud compute environments at scale.
- Experience mentoring students or junior colleagues.
- Experience with human cohort or controlled-access data (TCGA, GTEx, dbGaP) and splicing QTL analysis is a plus.
- Experience with deep-learning models of sequence-to-splicing relationships is a plus.
- Experience with long-read RNA sequencing and isoform-level analysis is a plus.
- Prior projects on splicing in a disease context, including identification of disease-associated splicing events or splicing-factor dysregulation is a plus.
Minimum Requirements
Minimum Education Required: Bachelor's degree
Preferred Education: Doctorate degree
Minimum Experience Required: 2 years
Pay Range: $65,018 - $108,857, pay determined by years of experience
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California, New York, Florida), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
Job Summary
The bioinformatician will develop algorithms and computational resources to analyze and interpret how dysregulated RNA splicing contributes to human disease. Working with the PI and experimental collaborators, the bioinformatician turns biomedical questions into algorithmic approaches, implements them as tested, reproducible software, and applies them to bulk, single-cell, spatial transcriptomic data. The bioinformatician takes scientific ownership of method development, taking novel approaches through benchmarking to peer-reviewed publication and open release. Results are interpreted mechanistically, linking splicing changes to their regulators and functional consequences, and used to propose and prioritize experimental validation. The bioinformatician presents findings internally and externally and works independently with limited supervision. The bioinformatician assists and collaborates with other lab members to advance their research, and helps update and maintain widely used pipelines and tools.
Key Responsibilities & Essential Functions
- Design, implement, test, and benchmark novel algorithms and statistical or machine-learning models for splicing analysis, such as event detection and quantification, differential splicing, isoform-level analysis, and prediction of variant effects on splicing.
- Lead method development through to manuscript-ready stage, serving as co-author on resulting publications.
- Apply these methods to patient-derived, model-system, and public datasets, bulk and single-cell, to identify disease-associated splicing alterations, their upstream drivers (trans-acting factors and cis-regulatory variants), and their downstream consequences.
- Integrate splicing data with other modalities, such as genomic variation, long-read transcriptomics, epigenomic, and proteomic data, to support mechanistic interpretation.
- Build version-controlled, containerized, documented pipelines (Nextflow) and release tools openly so that analyses are reproducible by external groups.
- Work with the PI and experimental collaborators to define questions, design validation experiments, and interpret results.
- Present pipelines, methods, and results at internal meetings and external conferences, and contribute to manuscripts and grant applications.
- Keep current with the splicing, RNA biology, and computational genomics literature, and mentor junior staff and trainees as needed.
Other Knowledge, Skills, and Abilities
- BS degree in Bioinformatics or relevant biological sciences degree + five years of professional bioinformatics work experience or MS degree in Bioinformatics or relevant biological sciences degree. Works under close supervision.
- PhD degree in bioinformatics, biology or a related field preferred.
- Deep knowledge of RNA biology and genomics, including splicing mechanisms, cis-regulatory elements, and splicing factors.
- Demonstrated experience with splicing analysis of transcriptomic data, including the limits and failure modes of these tools.
- Proficiency in Python, R, and Bash, and experience with workflow management (Nextflow).
- Experience developing algorithms in machine learning, statistics, or genomics, evidenced by novel methods or substantial extensions of existing ones.
- Software engineering practice: version control, automated testing, containerization, and documentation.
- Experience with single cell and/or spatial transcriptomics.
- Ability to read, critique, and apply the primary literature in fields related to current projects.
- Ability to lead projects and work independently with limited supervision.
- Clear written and oral communication of methods and results to scientific audiences.
- First-author publication in a peer-reviewed journal.
- Experience with HPC or cloud compute environments at scale.
- Experience mentoring students or junior colleagues.
- Experience with human cohort or controlled-access data (TCGA, GTEx, dbGaP) and splicing QTL analysis is a plus.
- Experience with deep-learning models of sequence-to-splicing relationships is a plus.
- Experience with long-read RNA sequencing and isoform-level analysis is a plus.
- Prior projects on splicing in a disease context, including identification of disease-associated splicing events or splicing-factor dysregulation is a plus.
Minimum Requirements
Minimum Education Required: Bachelor's degree
Preferred Education: Doctorate degree
Minimum Experience Required: 2 years
Pay Range: $65,018 - $108,857, pay determined by years of experience
About JAX:
The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California, New York, Florida), Japan and China. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.
Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community.
EEO Statement:
The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Bioinformatician
Align your degree to SOC codes
Bioinformatician roles map to SOC code 15-1299.01 on O*NET. Confirm your degree title matches the computational biology, bioinformatics, or life sciences framing your target employers list in their LCA filings, since degree-field alignment is what USCIS scrutinizes first.
Verify prevailing wage before negotiating
Use the OFLC Wage Search to look up the wage level for your target SOC code and worksite ZIP code before accepting any offer. Your employer's LCA must certify a wage at or above that level, so knowing the floor protects you from underbid offers.
Target employers with active LCA filing history
Search Migrate Mate to find employers with verified H-1B sponsorship history in bioinformatics and computational research roles. Prioritizing companies that have filed LCAs for similar positions cuts the time you spend educating hiring managers about the sponsorship process.
Clarify multi-site work arrangements early
If your role involves work at a university core facility, hospital system, or CRO client site separate from your employer's main address, each distinct worksite needs its own certified LCA. Raise this with HR before the offer stage so filing timelines don't stall your start date.
Document software and methods expertise precisely
USCIS RFEs for bioinformatics petitions often challenge whether the role truly requires a specialized degree. Your offer letter and employer support letter should name specific pipelines, tools, or analytical frameworks that require graduate-level training, not just general data analysis duties.
Account for cap timing in your job search
H-1B cap selection rules have changed recently, so plan your search timeline with USCIS guidance in mind. Cap-exempt employers, including many universities, nonprofit research institutions, and affiliated teaching hospitals, can file year-round and bypass the annual cap entirely.
H-1B Visa Bioinformatician: Frequently Asked Questions
Does a bioinformatician role qualify as an H-1B specialty occupation?
Yes. Bioinformatician positions typically qualify as a specialty occupation because the work, designing and running computational pipelines, analyzing genomic datasets, and interpreting biological data, normally requires at least a bachelor's degree in bioinformatics, computational biology, computer science, or a closely related field. USCIS will expect the employer to demonstrate that the specific duties in the job description require that degree-level foundation, not just general lab or data skills.
Which employers sponsor H-1B visas for bioinformaticians?
Pharmaceutical companies, genomics firms, academic medical centers, national laboratories, and biotechnology companies are among the most active sponsors for bioinformatician roles. Many universities and nonprofit research institutions qualify as cap-exempt employers, meaning they can file H-1B petitions year-round. Browse Migrate Mate to find employers with verified H-1B LCA filing history specifically in computational biology and bioinformatics job categories.
What documents does my employer need to file my H-1B petition?
Your employer files a Labor Condition Application with DOL, which must be certified before the I-129 petition goes to USCIS. Supporting documents typically include your degree transcripts and diplomas, a detailed offer letter specifying your duties and salary, and an employer support letter explaining why the role requires a specialized degree. If your degree is from outside the U.S., a credential evaluation from a NACES-member service is usually required.
How long does H-1B status last for a bioinformatician position?
USCIS grants H-1B status for an initial period of up to three years. You can extend it for another three years, reaching a six-year maximum under the standard cap. Extensions beyond six years are possible if your employer has filed a PERM labor certification or an I-140 immigrant petition on your behalf and certain conditions are met, but that pathway depends on your green card sponsorship timeline.
Can I transfer my H-1B to a new bioinformatics employer?
Yes. H-1B portability lets you start working for a new employer once they file an H-1B transfer petition with USCIS, without waiting for approval, provided you are currently in valid H-1B status. The new employer must file a fresh LCA certified for the new worksite and wage level. If the new role involves different duties or a different worksite city, make sure both documents reflect those specifics before your first day.