Bioinformatics Jobs
Bioinformatics jobs are open across pharmaceutical companies, academic research institutions, biotech firms, and clinical diagnostics, at levels from research associate to principal scientist and director, with specializations in genomics, computational biology, and structural bioinformatics. Find a role that fits from the openings below and apply directly.
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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.
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 77+ Bioinformatics Jobs
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Find Bioinformatics JobsBioinformatics Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Dana-Farber Cancer Institute7
- LatchBio4
- UCLA Health3
- University of California - San Francisco3
- 10x Genomics2
Top Industries Hiring
- Biotechnology & Pharmaceuticals34
- Education21
- Healthcare & Medical Services16
- Science & Research8
- Consulting & Professional Services7
What Employers Look For
The qualifications that appear most often in bioinformatics jobs.
- Proficiency in Python or R for biological data analysis and pipeline development
- Experience with next-generation sequencing data analysis and bioinformatics workflows
- Familiarity with version control systems such as Git and workflow managers like Snakemake or Nextflow
- Master's or PhD degree in bioinformatics, computational biology, or a related life sciences field
- Knowledge of statistical methods applied to genomics, proteomics, or transcriptomics datasets
- Experience working in Linux or Unix environments and with high-performance computing clusters
Tips for Your Bioinformatics Job Search
Tailor your resume to pipeline tools
Recruiters and applicant tracking systems in bioinformatics scan for specific tools like GATK, Snakemake, Nextflow, and Bioconductor. List the exact version-controlled pipelines you've built or maintained, not just the programming languages underneath them.
Showcase reproducible analysis on GitHub
A public repository with documented workflows, clear README files, and version history signals professional-grade work to hiring managers. Link it prominently on your resume and tailor pinned projects to match the domain of each role you're targeting.
Filter openings by sequencing modality
Bioinformatics roles differ sharply by data type: bulk RNA-seq, single-cell, long-read, metagenomics. Narrow your search to postings that match your hands-on experience so your application lands with the team that actually needs your specific analytical background.
Apply early to roles that fit
Migrate Mate lists bioinformatics openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a methods walkthrough for interviews
Bioinformatics interviews often include a live technical discussion where you walk through an analysis you've run. Practice explaining your QC decisions, parameter choices, and how you validated results, not just what the biological finding was.
Negotiate compute resources not just compensation
Before accepting an offer, ask about cloud computing budgets, HPC cluster access, and data storage allocations. Inadequate computational infrastructure limits what science you can do, and these details rarely appear in job postings but are negotiable at the offer stage.
Bioinformatics Jobs: Frequently Asked Questions
Which companies are hiring the most bioinformaticss?
The companies hiring the most bioinformaticss right now include Dana-Farber Cancer Institute, LatchBio, and UCLA Health, with the largest share of openings in California, Massachusetts, and New York, based on current listings on Migrate Mate as of June 2026. Pharmaceutical companies, clinical genomics labs, and large biotech firms consistently account for the majority of active postings.
How many bioinformatics jobs are remote?
About 27% of bioinformatics openings are fully remote or hybrid as of June 2026, reflecting the compute-heavy, laptop-friendly nature of much of the work. Roles focused on algorithm development, pipeline engineering, and data analysis tend to offer the most location flexibility, while positions requiring wet lab coordination or on-site HPC administration are more likely to be in-person.
How do you become a bioinformatics?
Start by building proficiency in Python or R alongside a working understanding of molecular biology fundamentals. Pursue coursework or a degree in bioinformatics, computational biology, or a related field, and complement it with hands-on projects analyzing real sequencing datasets. Contribute to open-source tools or post reproducible analyses publicly to demonstrate practical skills, then apply to research associate or junior analyst roles as entry points into the field.
How do you get hired in bioinformatics with little experience?
Focus on building a portfolio of publicly available analyses using open-access datasets from repositories like GEO or SRA, which hiring managers can review in lieu of professional references. Research assistant and bioinformatics core facility positions at universities often hire candidates who show strong coding fundamentals and biological curiosity even without extensive industry experience. Internships at biotech startups are another practical entry point.
What does the bioinformatics interview process look like?
Most bioinformatics hiring processes include an initial phone or video screen with a recruiter or hiring manager, followed by a technical interview where you walk through past analyses or solve a dataset problem. Later rounds typically involve a presentation of your prior work to the broader team and a discussion of your scientific reasoning and tool choices. Some employers add a take-home coding challenge focused on pipeline construction or statistical analysis.
Where can I find and apply to bioinformatics jobs?
You can find and apply to bioinformatics jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the available roles, find the ones that match your background and interests, and apply directly to each listing without leaving the platform.
See All 77+ Bioinformatics Jobs
Jump back to the full list of openings and apply to any bioinformatics role that fits.
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