H-1B Visa Bioinformatics Jobs
Bioinformatics roles sit squarely within H-1B visa specialty occupation requirements, as the work demands at minimum a bachelor's degree in computational biology, bioinformatics, or a closely related field. Pharma, biotech, and academic medical centers are consistent H-1B sponsors for these positions, filing LCAs under SOC codes that include biological scientists and computer occupations.
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Get Access To All JobsINTRODUCTION
Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.
Role Overview
We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data. The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.
Key Responsibilities
Data Analysis:
- Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
- Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
- Perform quality control, normalization, and batch-correction across heterogeneous datasets.
Pipeline Development & Automation:
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
- Procure and integrate existing biological databases with internal datasets.
Cross-Functional Collaboration:
- Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
- Collaborate with IT and other functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
- Ability to turn raw biological data into structured insights.
- Strong experience with AI application in data science.
- Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
- Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
- A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
- Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
- Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
- Creative, innovative and excellent communication and presentation skills.
- This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.
Li-JR1
Li-Hybrid
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
For information related to our privacy notice, please review: Legend Biotech Privacy Notice.
INTRODUCTION
Legend Biotech is a global biotechnology company dedicated to treating, and one day curing, life-threatening diseases. Headquartered in Somerset, New Jersey, we are developing advanced cell therapies across a diverse array of technology platforms, including autologous and allogenic chimeric antigen receptor T-cell, T-cell receptor (TCR-T), and natural killer (NK) cell-based immunotherapy. From our three R&D sites around the world, we apply these innovative technologies to pursue the discovery of safe, efficacious and cutting-edge therapeutics for patients worldwide.
Legend Biotech entered into a global collaboration agreement with Janssen, one of the pharmaceutical companies of Johnson & Johnson, to jointly develop and commercialize ciltacabtagene autolecuel (cilta-cel). Our strategic partnership is designed to combine the strengths and expertise of both companies to advance the promise of an immunotherapy in the treatment of multiple myeloma.
Legend Biotech is seeking a Scientist/Sr. Scientist, Bioinformatics Data as part of the Early Drug Development team based in Somerset, NJ.
Role Overview
We are seeking a highly motivated, passionate, and driven Bioinformatics Data Scientist with high scientific curiosity to join our research and development team. In this role, you will bridge the gap between complex biological datasets and actionable therapeutic insights. You will design, develop, and execute scalable computational pipelines to analyze high-dimensional genomic data. The ideal candidate possesses a deep curiosity for biological systems, an analytical mindset, and the technical skillset to tackle unstructured, diverse and complex multiomics challenges. Whether you come from a deep biological background with strong computational skills or a data science background with a proven track record in working with biological data, you will play a critical role in accelerating both our discovery and clinical pipeline.
Key Responsibilities
Data Analysis:
- Analyze diverse and large-scale genomic datasets (e.g., RNA-seq, scRNA-seq, WES/WGS, epigenetic, or multi-omics data) to identify biomarkers, therapeutic targets, or disease mechanisms.
- Apply advanced statistical, machine learning, and data-mining techniques to extract meaningful patterns from noisy biological data.
- Perform quality control, normalization, and batch-correction across heterogeneous datasets.
Pipeline Development & Automation:
- Design, optimize, and maintain robust, scalable bioinformatics pipelines.
- Implement version-controlled code architectures to ensure reproducibility and scalability of data analyses.
- Procure and integrate existing biological databases with internal datasets.
Cross-Functional Collaboration:
- Translate complex computational and statistical findings into clear biological narratives for experimental biologists, clinicians, and stakeholders.
- Collaborate with IT and other functional groups.
Requirements
- Ph.D. or M.S. in Bioinformatics, Computational Biology, Data Science, Genomics, Biology, or a highly quantitative field.
- Proven experience handling genomic data (Next-Generation Sequencing/NGS data analysis is required).
- Ability to turn raw biological data into structured insights.
- Strong experience with AI application in data science.
- Advanced proficiency in R (e.g., Bioconductor, Tidyverse) and/or Python (e.g., Pandas, NumPy, Scikit-learn).
- Experience with standard bioinformatics tools (e.g., alignment tools, variant callers, single-cell toolkits like Seurat/Scanpy).
- Experience with cloud computing platforms (AWS, GCP) and containerization (Docker, Singularity) is a strong plus.
- A self-starting attitude with an intrinsic desire to stay ahead of the curve in emerging computational methods and biological technologies.
- Proven ability to thrive in a fast-paced environment, manage multiple projects simultaneously, and pivot quickly based on data-driven feedback.
- Exceptional critical thinking skills with a knack for debugging complex code and parsing unstructured data formats.
- Creative, innovative and excellent communication and presentation skills.
- This role is designed as the starting point of group effort to solve complex biological and clinical problems in a fast paced environment. We look for individuals who take extreme ownership of their expertise and training, and driven by the prospect of turning data into information, and information into knowledge.
Li-JR1
Li-Hybrid
Please note: These benefits are offered exclusively to permanent full-time employees. Contractors are not eligible for benefits through Legend Biotech.
EEO Statement
It is the policy of Legend Biotech to provide equal employment opportunities without regard to actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression (including transgender status), sexual orientation, marital status, military service and veteran status, disability, genetic information, or any other protected characteristic under applicable federal, state or local laws or ordinances.
Employment is at-will and may be terminated at any time with or without cause or notice by the employee or the company.
For information related to our privacy notice, please review: Legend Biotech Privacy Notice.
See all 74+ H-1B Visa Bioinformatics Jobs
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Bioinformatics
Map your degree to the role
USCIS requires your degree field to directly relate to bioinformatics work. A degree in computer science or biology alone can trigger an RFE, document how your coursework covers both computational and biological domains before applying.
Target employers with LCA filing history
Search OFLC disclosure data filtered to bioinformatics-related SOC codes to see which pharma, genomics, and research employers have filed LCAs. Migrate Mate surfaces this data so you can prioritize companies with active sponsorship records.
Check prevailing wage before negotiating
Your offered salary must meet the DOL prevailing wage for your job zone and location. Run the OFLC Wage Search using your specific SOC code before any offer discussion so you can negotiate within a range USCIS won't flag.
Verify your employer's E-Verify enrollment early
If you're on OPT and transitioning to H-1B, your STEM OPT employer must be E-Verify enrolled. Confirm enrollment status before accepting a bioinformatics role, switching employers mid-extension restarts the compliance clock.
Use O*NET to frame your specialty occupation case
Bioinformatics spans multiple SOC codes and adjudicators sometimes challenge specialty occupation status. Pull the O*NET occupation profile for your specific role title and use its education and training data to anchor your employer's support letter.
File premium processing if your start date is rigid
Bioinformatics grant cycles and clinical trial timelines often mean rigid start dates. USCIS premium processing guarantees a 15-business-day adjudication decision, reducing the risk that delayed approval disrupts a project-tied onboarding date.
H-1B Visa Bioinformatics: Frequently Asked Questions
Does bioinformatics qualify as a specialty occupation for H-1B purposes?
Yes, bioinformatics qualifies as a specialty occupation because the work requires at minimum a bachelor's degree in a directly related field such as computational biology, bioinformatics, or computer science with a biological sciences minor. USCIS expects the employer to document why a specialized degree, not just any bachelor's, is required for the specific role.
Which SOC code applies to bioinformatics jobs for LCA filing?
Most bioinformatics positions are filed under SOC 19-1029 (Biological Scientists, All Other) or 15-2099 (Mathematical Science Occupations, All Other), depending on whether the role is research-focused or computationally weighted. The employer chooses the code, but it directly determines your prevailing wage tier, so confirm it matches your actual job duties before the LCA is submitted to DOL.
How do I find employers who actively sponsor H-1B visas for bioinformatics roles?
Migrate Mate filters job listings by employers with verified H-1B LCA filing history, including companies in pharma, genomics, and academic medical research. Searching by role type and location shows you which organizations have a track record of sponsoring bioinformatics professionals, rather than guessing based on company size or industry.
Can a bioinformatics employer file my H-1B if I'm still finishing my degree?
Yes, if you'll complete your degree before the H-1B start date of October 1, your employer can submit the registration in March for a cap-subject H-1B. USCIS allows filing before graduation as long as the degree is conferred by the time the petition is approved or the employment begins, whichever is later.
What happens to my H-1B status if my bioinformatics role shifts from research to software development?
A material change in job duties requires your employer to file an amended H-1B petition before the change takes effect. If the new role falls under a different SOC code or prevailing wage level, the employer must also file a new LCA with DOL. Failing to amend can put your status out of compliance, so flag any significant duty changes to your employer's immigration counsel promptly.