Bioinformatics Specialist Jobs
Bioinformatics Specialist jobs are open across pharma, genomics research, clinical diagnostics, and academic institutions, from entry-level analyst to principal scientist, with specializations in genomic data analysis, computational biology, and pipeline development. Scan the live roles below and apply to whichever ones fit.
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seeking a Bioinformatics Operations Specialist.
In this role, you'll support the operation, evolution, and adoption of enterprise bioinformatics platforms and analytical tools supporting public health missions. You'll apply bioinformatics domain knowledge to understand scientific and operational needs, coordinate across technical teams, support platform workflows, track requirements and delivery, and help ensure bioinformatics capabilities are reliable, scalable, and aligned to user needs.
Key Responsibilities:
- Support the day-to-day operation and continuous improvement of enterprise on-premise and cloud-based high performance computing bioinformatics platforms, analytical tools, and data workflows.
- Analyze bioinformatics workflows, data types, and analytical use cases to identify operational needs, issues, dependencies, and opportunities for improvement.
- Gather, document, and translate scientific, technical, and operational requirements into actionable requirements, user stories, use cases, acceptance criteria, and platform capabilities.
- Develop bioinformatics pipelines, databases, and conduct data analysis as required.
- Coordinate with bioinformatics, data science, engineering, and cloud and on-premise infrastructure, and other technical teams to support delivery and resolve operational issues.
- Monitor requirements, workflow activities, risks, dependencies, and delivery progress using tools such as Azure DevOps, Git, or Jira.
- Support on-premise, hybrid, or cloud-based platform governance and operational performance by helping define KPIs, success metrics, processes, and outcomes aligned to bioinformatics mission goals.
- Facilitate stakeholder discussions, demonstrations, and user engagement activities to gather feedback, communicate status, and support adoption of bioinformatics platforms and tools.
You Haves:
- 2+ years of experience supporting or analyzing bioinformatics workflows, data types, and analytical use cases such as genomics, sequencing data, pipelines, or surveillance analytics
- Experience supporting the operations, implementation, or continuous improvement of technical platforms, data workflows, or analytical tools within on-premise high-performance computing environments
- Knowledge of common bioinformatics, life sciences, or public health data platforms and analytical tools
- Knowledge of data technologies used in bioinformatics or analytical applications, including SQL, NoSQL databases, or web-based interfaces
- Ability to troubleshoot operational issues, identify dependencies and risks, and coordinate with technical teams to drive issues toward resolution
- Ability to manage multiple workflows, requirements, tasks, and priorities in a structured delivery environment
- Knowledge of Agile, Scrum, Kanban, or SAFe delivery environments
- Ability to lead client and stakeholder discussions, document requirements, and translate scientific or technical needs into actionable implementation steps
- Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
- Bachelor’s degree
- Must be a U.S. Citizen or Lawful Permanent Resident (Green Card Holder)
Nice if You Haves:
- Experience working in a public health, life sciences, research, or bioinformatics environment
- Experience supporting systems development lifecycle activities and modern data platform architectures
- Experience with bioinformatics platform operations, data pipeline monitoring, workflow management, or production support
- Experience using business analysis or requirements management processes to translate scientific or technical requirements into user stories, use cases, and platform features
- Experience with process modeling, workflow documentation, or structured requirements analysis
- Knowledge of big data, analytics, or bioinformatics platforms in a cloud environment
- Knowledge of cloud-based systems and data platforms
Pay: $39.98 - $80.00 per hour
Work Location: In person
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Who's Hiring
Top Industries Hiring
- Biotechnology & Pharmaceuticals
What Employers Look For
The qualifications that appear most often in bioinformatics specialist jobs.
- Master's or PhD in bioinformatics, computational biology, or a closely related field
- Proficiency in Python, R, or Perl for genomic data analysis and pipeline development
- Hands-on experience with NGS tools such as GATK, BWA, STAR, or DESeq2
- Familiarity with high-performance computing environments and job schedulers like Slurm or LSF
- Experience working with genomic databases including NCBI, Ensembl, or UCSC Genome Browser
- Strong version control practices using Git and reproducible workflow frameworks such as Snakemake or Nextflow
Tips for Your Bioinformatics Specialist Job Search
Tailor your resume to pipeline tools
Hiring managers scan for specific tools before anything else. List every pipeline you've built or maintained, the languages you used, and the data volumes you processed. A generic 'proficient in bioinformatics software' line gets ignored.
Show reproducibility in your portfolio
Link to public repositories where your code is documented, version-controlled, and reproducible. Employers in this field care deeply about whether another scientist can re-run your analysis and get the same result without asking you ten questions.
Apply early to roles that fit
Migrate Mate lists bioinformatics specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Read job postings for assay context
Whether a role is NGS-heavy, proteomics-focused, or tied to clinical trial data tells you exactly which skills to emphasize. Matching your resume language to the assay types named in the posting sharply improves callback rates.
Prepare for a live coding or data task
Most bioinformatics interviews include a take-home or live exercise involving a small dataset, often in Python, R, or Bash. Practice working through alignment, variant calling, or differential expression problems under time pressure before your first screen.
Negotiate start date around publication timelines
If you're finishing a postdoc or manuscript submission, name a specific start date tied to that milestone rather than leaving it vague. Research-oriented employers understand publication dependencies and respond better to a concrete date than an open-ended answer.
Bioinformatics Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most bioinformatics specialists?
The most active employers for bioinformatics specialists right now are Booz Allen Hamilton, National Institutes of Health, and Mass General Brigham, and the most openings are in Georgia, Massachusetts, and California, based on current listings on Migrate Mate as of November 2026. Demand is especially high at pharmaceutical companies, genomics platforms, and academic medical centers.
How many bioinformatics specialist jobs are remote?
About 40% of bioinformatics specialist openings are fully remote or hybrid as of November 2026, reflecting broader trends in computational research roles. Sub-areas focused on data pipeline development and software engineering tend to have the highest share of remote-friendly postings, while roles tied to wet lab collaboration are more likely to require on-site presence.
How do you become a bioinformatics specialist?
Start by building a foundation in both biology and computer science through a relevant degree program, then develop hands-on skills in genomic data analysis, scripting languages, and pipeline tools. Contribute to open-source projects or publish reproducible analyses in public repositories to demonstrate practical ability. Targeted postdoctoral work or industry internships help bridge academic training to employer expectations.
How do you get hired as a bioinformatics specialist with little experience?
Focus on building a public portfolio of documented analyses, even from coursework or personal projects, using real datasets from resources like NCBI or the UCSC Genome Browser. Apply to research assistant or junior analyst roles at academic labs and biotech startups, where skill demonstration often carries more weight than years of experience. Contribute to open-source bioinformatics tools to show collaborative, production-ready code.
What does the bioinformatics specialist interview process look like?
Most processes begin with a recruiter screen followed by a technical phone interview covering scripting fundamentals, pipeline logic, and data interpretation. A take-home assignment or live coding exercise involving a real or synthetic genomic dataset is common at the second stage. Final rounds typically include a presentation of your past work and conversations with cross-functional team members such as bench scientists or clinical researchers.
Where can I find and apply to bioinformatics specialist jobs?
You can find and apply to bioinformatics specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your specialization and experience level, then apply directly to each listing that fits. New positions are added regularly, so checking back frequently gives you access to the most current openings.
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