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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Are you ready to make a significant impact in the field of cell therapy? In AstraZeneca's Cell Therapy division, we follow the science to explore and innovate. We are working towards treating, preventing, modifying, and even curing some of the world's most complex diseases. We have the potential to grow our pipeline and positively impact the lives of patients around the world. We are committed to making a difference and have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
AstraZeneca is looking for an Associate Director to join the NGS & Bioinformatics group within Cell Therapy Translational and Safety Sciences (CT-TSS). In this role, you will provide scientific and analytical leadership for bioinformatics efforts that generate translational and safety insights across our cell therapy pipeline (CAR/TCR/in vivo). Your expertise will be crucial in advancing our cell therapy programs and transforming the lives of patients.
Accountabilities
- Lead the single-cell RNA sequencing (scRNAseq)-based analyses to generate translational and safety science insights supporting the AstraZeneca cell therapy pipeline (CAR/TCR/in vivo).
- Oversee the development and optimization of bioinformatics pipelines supporting single-cell transcriptomics and multi-omic data integration.
- Apply and guide the use of AI/ML methodologies and advanced analytics to derive actionable insights from complex multi-modal datasets.
- Develop, validate, and operationalize program-specific and cross-trial computational models that integrate longitudinal multi-omic and clinical data to address defined translational questions, including response prediction, mechanism-of-action characterization, biomarker discovery, and resistance profiling.
- Lead the evaluation, adaptation, and implementation of AI foundation models for single-cell and multi-omic data, including domain-specific pretraining, fine-tuning, embedding-based representation learning, benchmarking, and deployment to support translational and safety applications across cell therapy programs.
- Guide assay development teams on NGS assay design, sequencing strategy, data quality requirements, and analytical readiness.
- Interpret and integrate complex datasets within and across programs; provide clear written and verbal updates on findings and their translational/safety implications to key stakeholders.
- Contribute to regulatory-support materials, internal strategy documents, and publication strategy, including preparation of data for presentation at internal and external scientific conferences.
- Collaborate cross-functionally with bioanalysis, clinical, data engineering, and IT teams to ensure robust data management, workflow orchestration, and compute scalability for NGS and bioinformatics workflows.
- Stay current with advancements in single-cell technologies and AI and ML-based models, and apply this knowledge to continuously improve analytical approaches.
- Mentor and provide scientific/technical guidance to junior scientists and bioinformaticians within the team.
Essential Skills/Experience
- PhD in bioinformatics, computational biology, or a related field.
- 6+ years of relevant pharmaceutical industry experience.
- Demonstrated expertise in bioinformatics and computational analysis of single-cell RNA sequencing (scRNAseq) and multi-omic datasets.
- Experience generating translational and safety science insights from genomic/transcriptomic data within Cell Therapy, immunology, or tumor biology programs.
- Deep understanding of Cell therapy Biology, immune cell phenotyping, and/or tumor biology, with up-to-date knowledge of analytical methods applicable to characterization of cell therapy products and their mechanism of action.
- Deep familiarity with bioinformatics pipelines for single-cell and immune-profiling datasets.
- Proficiency in programming languages such as Python and R, with experience building and maintaining analytical pipelines.
- Experience with cloud computing environments and high-performance computing clusters for scalable data processing.
- Background in applying AI/ML models to biological data, including prediction, feature extraction, and integrative multi-omic analytics.
- Solid understanding of statistics and their application to biomedical science and clinical data.
- Working knowledge of FAIR data principles, structured metadata, and harmonized data practices.
- Exceptional ability to interpret and communicate complex datasets verbally, in writing, and in presentations, adapting to scientific, clinical, and executive audiences.
- Ability to work cross-functionally and collaboratively with project stakeholders, and to prioritize multiple projects concurrently in a fast-paced environment.
The annual base pay (or hourly rate of compensation) for this position ranges from $142,377 - $213,566 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
30-Oct-2026Closing Date
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Are you ready to make a significant impact in the field of cell therapy? In AstraZeneca's Cell Therapy division, we follow the science to explore and innovate. We are working towards treating, preventing, modifying, and even curing some of the world's most complex diseases. We have the potential to grow our pipeline and positively impact the lives of patients around the world. We are committed to making a difference and have built our business around our passion for science. Now we are fusing data and technology with the latest scientific innovations to achieve the next wave of breakthroughs.
AstraZeneca is looking for an Associate Director to join the NGS & Bioinformatics group within Cell Therapy Translational and Safety Sciences (CT-TSS). In this role, you will provide scientific and analytical leadership for bioinformatics efforts that generate translational and safety insights across our cell therapy pipeline (CAR/TCR/in vivo). Your expertise will be crucial in advancing our cell therapy programs and transforming the lives of patients.
Accountabilities
- Lead the single-cell RNA sequencing (scRNAseq)-based analyses to generate translational and safety science insights supporting the AstraZeneca cell therapy pipeline (CAR/TCR/in vivo).
- Oversee the development and optimization of bioinformatics pipelines supporting single-cell transcriptomics and multi-omic data integration.
- Apply and guide the use of AI/ML methodologies and advanced analytics to derive actionable insights from complex multi-modal datasets.
- Develop, validate, and operationalize program-specific and cross-trial computational models that integrate longitudinal multi-omic and clinical data to address defined translational questions, including response prediction, mechanism-of-action characterization, biomarker discovery, and resistance profiling.
- Lead the evaluation, adaptation, and implementation of AI foundation models for single-cell and multi-omic data, including domain-specific pretraining, fine-tuning, embedding-based representation learning, benchmarking, and deployment to support translational and safety applications across cell therapy programs.
- Guide assay development teams on NGS assay design, sequencing strategy, data quality requirements, and analytical readiness.
- Interpret and integrate complex datasets within and across programs; provide clear written and verbal updates on findings and their translational/safety implications to key stakeholders.
- Contribute to regulatory-support materials, internal strategy documents, and publication strategy, including preparation of data for presentation at internal and external scientific conferences.
- Collaborate cross-functionally with bioanalysis, clinical, data engineering, and IT teams to ensure robust data management, workflow orchestration, and compute scalability for NGS and bioinformatics workflows.
- Stay current with advancements in single-cell technologies and AI and ML-based models, and apply this knowledge to continuously improve analytical approaches.
- Mentor and provide scientific/technical guidance to junior scientists and bioinformaticians within the team.
Essential Skills/Experience
- PhD in bioinformatics, computational biology, or a related field.
- 6+ years of relevant pharmaceutical industry experience.
- Demonstrated expertise in bioinformatics and computational analysis of single-cell RNA sequencing (scRNAseq) and multi-omic datasets.
- Experience generating translational and safety science insights from genomic/transcriptomic data within Cell Therapy, immunology, or tumor biology programs.
- Deep understanding of Cell therapy Biology, immune cell phenotyping, and/or tumor biology, with up-to-date knowledge of analytical methods applicable to characterization of cell therapy products and their mechanism of action.
- Deep familiarity with bioinformatics pipelines for single-cell and immune-profiling datasets.
- Proficiency in programming languages such as Python and R, with experience building and maintaining analytical pipelines.
- Experience with cloud computing environments and high-performance computing clusters for scalable data processing.
- Background in applying AI/ML models to biological data, including prediction, feature extraction, and integrative multi-omic analytics.
- Solid understanding of statistics and their application to biomedical science and clinical data.
- Working knowledge of FAIR data principles, structured metadata, and harmonized data practices.
- Exceptional ability to interpret and communicate complex datasets verbally, in writing, and in presentations, adapting to scientific, clinical, and executive audiences.
- Ability to work cross-functionally and collaboratively with project stakeholders, and to prioritize multiple projects concurrently in a fast-paced environment.
The annual base pay (or hourly rate of compensation) for this position ranges from $142,377 - $213,566 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Date Posted
30-Oct-2026Closing Date
Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
Bioinformatics Jobs by Experience Level
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Find Bioinformatics JobsBioinformatics Job Market
Who's Hiring
Top Industries Hiring
- Education11
- Biotechnology & Pharmaceuticals7
- Healthcare & Medical Services6
- Medical Devices1
- Science & Research1
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 Illumina, Quest Diagnostics, and St. Jude Children's Research Hospital, with the largest share of openings in California, Maryland, and Texas, based on current listings on Migrate Mate as of November 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 64% of bioinformatics openings are fully remote or hybrid as of November 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 122+ Bioinformatics Jobs
Find roles that match your experience and apply in just a few clicks.
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