Senior Bioinformatics Scientist Jobs
Senior Bioinformatics Scientist jobs are open across pharmaceuticals, genomics, biotech, and academic research, from mid-level to principal, with specializations in computational genomics, structural bioinformatics, and multi-omics data analysis. Find a role that fits from the openings below and apply directly.
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Zymo Research is seeking a Bioinformatics Scientist to join the Epigenetics Technology team and lead computational development for epigenomics and molecular assay research. The scientist will curate datasets, discover and evaluate candidate methylation biomarkers, develop statistical models, and build reproducible analysis pipelines in close collaboration with experimental scientists.
This role combines epigenomics, statistical modeling, and software development. The scientist will guide computational strategy, define analytical performance criteria, and support targeted assay development, independent validation, and transfer into scalable research products.
Join us in making a meaningful impact!
- Own the computational roadmap for assigned research and assay development projects, defining deliverables, milestones, acceptance criteria, data needs, and technical risks. Coordinate priorities and dependencies with experimental scientists and support bioinformatics teams.
- Curate public and internal epigenomic datasets (methylation, hydroxymethylation). Document sample provenance, quality, relevant metadata, assay platform, genome build, and usage permissions; maintain versioned datasets with clear inclusion and quality criteria.
- Discover and prioritize candidate molecular markers and differentially methylated regions. Evaluate specificity, biological variability, common sequence variants, repetitive regions, assay compatibility, and stability across relevant sample and biological conditions.
- Develop and benchmark statistical models for molecular profiling and epigenetic biomarker analysis. Evaluate feature selection, model assumptions, uncertainty and performance supported by the available data.
- Contribute to other projects requiring relevant scientific and technical expertise.
Pipeline Development and Validation
- Build reproducible pipelines for methylation sequencing and relevant reference array datasets, covering quality control, alignment, methylation quantification, filtering, annotation, and reporting. Evaluate conversion efficiency, mapping ambiguity, duplicates, coverage, and batch effects using controls appropriate to each assay.
- Co-design targeted methylation panels with the assay team. Perform in silico assessment of primers, probes, and hybridization capture baits for sequence specificity, common variants, conversion-related sequence changes, and cross-hybridization; use empirical enrichment and coverage data to refine panel design.
- Benchmark analytical methods using reference standards, simulations, and independent sample sets. Separate model development, marker selection, and validation by biological source; assess bias, error, agreement, reproducibility, and robustness.
- Assess robustness to sequencing depth, missing data, DNA input, dataset selection, platform differences, batch effects, and relevant biological variation. Use validated harmonization approaches and prevent information leakage across development and validation datasets.
- Define quantitative reporting metrics, calibration approaches, quality thresholds, and validated reporting ranges. Document uncertainty, investigate unexpected results, and communicate analytical limitations.
- Implement automated quality checks, failure flags, versioned reports, and traceable software releases. Use code review, tests, workflow automation, and documented environments to support reproducibility and technical transfer; communicate model limitations clearly to scientific and product teams.
Additional Responsibilities
- Provide technical guidance and code review for collaborating scientists and junior bioinformatics staff. Maintain clear analysis documentation, contribute to publications and invention disclosures, and support product and customer-facing technical discussions as needed for relevant projects.
Education and Experience:
- Ph.D. in bioinformatics, computational biology, computer science, genomics, or a related discipline, with demonstrated independent ownership of substantial computational research or product development projects.
- Strong experience analyzing DNA (hydroxy)methylation or epigenomic data, including sequencing-based quantification, quality control, and biological interpretation.
- Experience with statistical modeling, biomarker discovery, or closely related quantitative methods, including rigorous study design, feature selection, and independent model validation.
Required Technical Skills
- Proficiency in Python and R, Linux or Unix, statistical analysis, and scientific visualization. Experience building maintainable analysis code with version control, automated tests, and documented workflows.
- Experience processing Illumina sequencing data, managing large genomic datasets, and developing scalable workflows using high-performance or cloud computing environments.
- Experience with epigenomic biomarker discovery, dataset curation, method benchmarking, or statistical model optimization.
- Strong communication skills and evidence of original scientific contributions through publications/posters, validated analytical methods, or deployed analysis tools (e.g. GitHub). Ability to explain uncertainty and analytical tradeoffs to multidisciplinary collaborators.
Preferred Qualifications
- Experience with targeted methylation sequencing, hybridization capture panel design, multiplex primer or probe design, or analysis of methylation-sensitive qPCR or digital PCR data.
- Experience analyzing DNA variants/SNPs using NGS data and appropriate quality control and validation methods.
- Experience comparing molecular assay results with independent measurements and assessing analytical agreement, bias, and reproducibility.
- Experience with cross-platform methylation analysis (Nanopore/PacBio), low-input assays, uncertainty estimation, workflow engines, or transfer of analytical methods into supported research products.
About Us:
Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance.
Compensation, Benefits, and Perks:
Zymo Research also offers competitive benefits and perks including:
- Medical, Dental, Vision, and Life Insurance Coverages
- EAP Sessions
- Vacation Time plus Company Holidays
- Paid Sick Leave
- Generous 401(K) with matching
- Employee Referral Bonus
- Complimentary fruit, snacks, and beverages
- Complimentary catered lunches on Thursdays
- Complimentary EV Charging Cell phone stipend
Equal Employment Opportunity Employer:
Location:
Disclaimer: At Zymo, we take the integrity of our hiring process seriously. Please be aware of fraudulent recruitment activities that may use our name to deceive job seekers. We will never ask for payment, sensitive personal information, or financial details during the recruitment process.
All legitimate communications will come from an official Zymo or TriNet Hiring email address. If you are contacted by anyone claiming to represent us using a free email service (e.g., Gmail, Yahoo, Hotmail) or asking for payment, please treat this as fraudulent and report it immediately to careers@zymoresearch.com
Zymo Research is seeking a Bioinformatics Scientist to join the Epigenetics Technology team and lead computational development for epigenomics and molecular assay research. The scientist will curate datasets, discover and evaluate candidate methylation biomarkers, develop statistical models, and build reproducible analysis pipelines in close collaboration with experimental scientists.
This role combines epigenomics, statistical modeling, and software development. The scientist will guide computational strategy, define analytical performance criteria, and support targeted assay development, independent validation, and transfer into scalable research products.
Join us in making a meaningful impact!
- Own the computational roadmap for assigned research and assay development projects, defining deliverables, milestones, acceptance criteria, data needs, and technical risks. Coordinate priorities and dependencies with experimental scientists and support bioinformatics teams.
- Curate public and internal epigenomic datasets (methylation, hydroxymethylation). Document sample provenance, quality, relevant metadata, assay platform, genome build, and usage permissions; maintain versioned datasets with clear inclusion and quality criteria.
- Discover and prioritize candidate molecular markers and differentially methylated regions. Evaluate specificity, biological variability, common sequence variants, repetitive regions, assay compatibility, and stability across relevant sample and biological conditions.
- Develop and benchmark statistical models for molecular profiling and epigenetic biomarker analysis. Evaluate feature selection, model assumptions, uncertainty and performance supported by the available data.
- Contribute to other projects requiring relevant scientific and technical expertise.
Pipeline Development and Validation
- Build reproducible pipelines for methylation sequencing and relevant reference array datasets, covering quality control, alignment, methylation quantification, filtering, annotation, and reporting. Evaluate conversion efficiency, mapping ambiguity, duplicates, coverage, and batch effects using controls appropriate to each assay.
- Co-design targeted methylation panels with the assay team. Perform in silico assessment of primers, probes, and hybridization capture baits for sequence specificity, common variants, conversion-related sequence changes, and cross-hybridization; use empirical enrichment and coverage data to refine panel design.
- Benchmark analytical methods using reference standards, simulations, and independent sample sets. Separate model development, marker selection, and validation by biological source; assess bias, error, agreement, reproducibility, and robustness.
- Assess robustness to sequencing depth, missing data, DNA input, dataset selection, platform differences, batch effects, and relevant biological variation. Use validated harmonization approaches and prevent information leakage across development and validation datasets.
- Define quantitative reporting metrics, calibration approaches, quality thresholds, and validated reporting ranges. Document uncertainty, investigate unexpected results, and communicate analytical limitations.
- Implement automated quality checks, failure flags, versioned reports, and traceable software releases. Use code review, tests, workflow automation, and documented environments to support reproducibility and technical transfer; communicate model limitations clearly to scientific and product teams.
Additional Responsibilities
- Provide technical guidance and code review for collaborating scientists and junior bioinformatics staff. Maintain clear analysis documentation, contribute to publications and invention disclosures, and support product and customer-facing technical discussions as needed for relevant projects.
Education and Experience:
- Ph.D. in bioinformatics, computational biology, computer science, genomics, or a related discipline, with demonstrated independent ownership of substantial computational research or product development projects.
- Strong experience analyzing DNA (hydroxy)methylation or epigenomic data, including sequencing-based quantification, quality control, and biological interpretation.
- Experience with statistical modeling, biomarker discovery, or closely related quantitative methods, including rigorous study design, feature selection, and independent model validation.
Required Technical Skills
- Proficiency in Python and R, Linux or Unix, statistical analysis, and scientific visualization. Experience building maintainable analysis code with version control, automated tests, and documented workflows.
- Experience processing Illumina sequencing data, managing large genomic datasets, and developing scalable workflows using high-performance or cloud computing environments.
- Experience with epigenomic biomarker discovery, dataset curation, method benchmarking, or statistical model optimization.
- Strong communication skills and evidence of original scientific contributions through publications/posters, validated analytical methods, or deployed analysis tools (e.g. GitHub). Ability to explain uncertainty and analytical tradeoffs to multidisciplinary collaborators.
Preferred Qualifications
- Experience with targeted methylation sequencing, hybridization capture panel design, multiplex primer or probe design, or analysis of methylation-sensitive qPCR or digital PCR data.
- Experience analyzing DNA variants/SNPs using NGS data and appropriate quality control and validation methods.
- Experience comparing molecular assay results with independent measurements and assessing analytical agreement, bias, and reproducibility.
- Experience with cross-platform methylation analysis (Nanopore/PacBio), low-input assays, uncertainty estimation, workflow engines, or transfer of analytical methods into supported research products.
About Us:
Since its inception in 1994, Zymo Research has been proudly serving the scientific community by providing innovative, reliable, and high-quality research tools and products. Whether it's DNA, RNA, epigenetics, microbiomics, protein, or yeast-based research, our philosophy remains the same: To provide the highest quality products in the industry while ensuring they are both simple to use and reliable in their performance.
Compensation, Benefits, and Perks:
Zymo Research also offers competitive benefits and perks including:
- Medical, Dental, Vision, and Life Insurance Coverages
- EAP Sessions
- Vacation Time plus Company Holidays
- Paid Sick Leave
- Generous 401(K) with matching
- Employee Referral Bonus
- Complimentary fruit, snacks, and beverages
- Complimentary catered lunches on Thursdays
- Complimentary EV Charging Cell phone stipend
Equal Employment Opportunity Employer:
Location:
Disclaimer: At Zymo, we take the integrity of our hiring process seriously. Please be aware of fraudulent recruitment activities that may use our name to deceive job seekers. We will never ask for payment, sensitive personal information, or financial details during the recruitment process.
All legitimate communications will come from an official Zymo or TriNet Hiring email address. If you are contacted by anyone claiming to represent us using a free email service (e.g., Gmail, Yahoo, Hotmail) or asking for payment, please treat this as fraudulent and report it immediately to careers@zymoresearch.com
Senior Bioinformatics Scientist Jobs by Experience Level
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Find JobsSenior Bioinformatics Scientist Job Market
Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
- Education
- Healthcare & Medical Services
- Medical Devices
- Non-Profit & Social Services
What Employers Look For
The qualifications that appear most often in senior bioinformatics scientist jobs.
- PhD in bioinformatics, computational biology, genomics, or a closely related field
- Proficiency in Python and R for statistical analysis and pipeline development
- Experience with next-generation sequencing data analysis including RNA-seq, WGS, or scRNA-seq
- Hands-on use of workflow management systems such as Snakemake, Nextflow, or WDL
- Familiarity with cloud computing environments including AWS, Google Cloud, or Microsoft Azure
- Strong record of peer-reviewed publication or contributions to open-source bioinformatics tools
Tips for Your Senior Bioinformatics Scientist Job Search
Tailor your resume to pipeline specifics
Generic bioinformatics resumes lose reviewers fast. For each application, name the exact pipelines you built or maintained, the genome assemblers or alignment tools you used, and the scale of datasets you processed. Quantify compute time saved or variant calls improved.
Apply early to roles that fit
Migrate Mate lists senior bioinformatics scientist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Highlight reproducibility and documentation habits
Senior-level hiring panels care deeply about whether your analyses can be reproduced by the next scientist. Call out your use of workflow managers like Snakemake or Nextflow, containerization with Docker or Singularity, and version-controlled notebooks in your resume and cover letter.
Distinguish wet-lab familiarity from pure computation
Many senior roles sit at the interface of experimental and computational work. If you can interpret a sequencing QC report, design an experiment alongside bench scientists, or translate biological questions into algorithmic tasks, say so explicitly. Panels often screen for this bridge.
Prepare a technical take-home or code sample
Most senior bioinformatics scientist interviews include a coding or analysis exercise. Before your first screen, clean up a public GitHub repository or Jupyter notebook that demonstrates your end-to-end thinking on a real dataset, so you can share it on short notice.
Negotiate scope before discussing compensation
In senior bioinformatics roles, reporting structure, compute budget, and collaboration access vary enormously and affect your day-to-day output. Clarify what resources and autonomy the role actually carries before the offer stage so you negotiate from a clear picture of the position.
Senior Bioinformatics Scientist Jobs: Frequently Asked Questions
Which companies are hiring the most senior bioinformatics scientists?
The companies hiring the most senior bioinformatics scientists right now include St. Jude Children's Research Hospital, Abbott, and Illumina, with the largest share of openings in California, Maryland, and Tennessee, based on current listings on Migrate Mate as of November 2026. Pharmaceutical companies, genomics platforms, and large academic medical centers consistently drive the highest volume of postings.
How many senior bioinformatics scientist jobs are remote?
About 57% of senior bioinformatics scientist openings are fully remote or hybrid as of November 2026, making it one of the more flexible roles in the life sciences. Sub-specialties focused on computational pipeline development, machine learning model building, and data engineering tend to appear as remote most often, while roles tied to wet-lab collaboration or clinical data governance are more commonly on-site.
How do you become a senior bioinformatics scientist?
Most senior bioinformatics scientists start with a PhD in computational biology, bioinformatics, or genomics, followed by a postdoctoral fellowship or industry research role where they lead independent analyses. From there, building a portfolio of end-to-end pipeline work, contributing to publications, and demonstrating cross-functional collaboration with bench scientists positions candidates for senior individual-contributor or team-lead roles.
Can you get hired as a senior bioinformatics scientist without extensive experience?
A strong PhD plus postdoctoral or industry research experience is typically required for senior-level roles, but candidates coming from adjacent fields like computational chemistry, machine learning, or clinical data science can compete by demonstrating direct bioinformatics output. Open-source contributions, a clean public code portfolio, and domain-specific publications can offset gaps in formal job title history when applying to growth-stage biotech teams.
What does the senior bioinformatics scientist interview process look like?
The process typically starts with a recruiter screen, followed by a technical phone interview covering your pipeline architecture, tool choices, and statistical reasoning. A take-home analysis exercise or live coding session usually comes next, where you work through a real or simulated dataset. Final rounds involve presentations to the science team and conversations with cross-functional partners such as biologists, software engineers, or clinical researchers.
Where can I find and apply to senior bioinformatics scientist jobs?
You can find and apply to senior bioinformatics scientist jobs on Migrate Mate, which lists current openings from across the United States. Search the listings, find roles that match your background and research interests, and apply directly to each one. No intermediaries, no gatekeeping, just a straightforward path from opening to application.
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Find roles that match your experience and apply in just a few clicks.
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