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Bioinformatics Data Analyst Jobs (NOW HIRING)

Axle

Bioinformatics Engineer

Rockville, MD · On-site

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... data scientists, and software engineers to integrate pipelines into broader analytical ecosystems

Axle

Bioinformatics Engineer

Rockville, MD

Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of ... data scientists, and software engineers to integrate pipelines into broader analytical ecosystems

Bruker

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

UNAVAILABLE

The Bioinformatician will furthermore play a role in performing CellScape data analyses for key customer collaborations and/or contract research projects. The ideal candidate will have a solid ...

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Bioinformatics Data Analyst information

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How much do bioinformatics data analyst jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for bioinformatics data analyst in the United States is $45.82, according to ZipRecruiter salary data. Most workers in this role earn between $36.06 and $49.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Bioinformatics Data Analyst, and why are they important?

To thrive as a Bioinformatics Data Analyst, a solid background in biology, statistics, and programming (often with a degree in bioinformatics, computational biology, or a related field) is essential. Proficiency with tools such as R, Python, SQL, and bioinformatics software like BLAST or Bioconductor, as well as experience with large datasets and relevant certifications, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help analysts interpret complex data and collaborate with interdisciplinary teams. These skills ensure accurate data analysis, meaningful biological insights, and successful project outcomes in research or clinical settings.

What is the difference between Bioinformatics Data Analyst vs Bioinformatics Scientist?

AspectBioinformatics Data AnalystBioinformatics Scientist
Required CredentialsBachelor's or Master's in Bioinformatics, Biology, or related fieldsMaster's or PhD in Bioinformatics, Computational Biology, or related fields
Work EnvironmentData analysis teams, research labs, healthcare settingsResearch projects, development of algorithms, scientific publications
Employer & Industry UsageBiotech companies, healthcare institutions, research organizationsAcademic institutions, biotech firms, pharmaceutical companies
Common Search & ComparisonOften compared for data analysis roles in bioinformaticsMore research-focused, involved in algorithm development

Bioinformatics Data Analysts primarily focus on analyzing biological data using existing tools, while Bioinformatics Scientists develop new algorithms and conduct research. Both roles require strong computational skills, but the Scientist role typically involves more advanced research and innovation.

How do Bioinformatics Data Analysts typically collaborate with researchers and other team members in a multidisciplinary environment?

Bioinformatics Data Analysts often work closely with biologists, clinicians, and software engineers, acting as a bridge between experimental research and computational analysis. Collaboration usually involves interpreting experimental data, discussing analytical approaches, and presenting findings in a way that's accessible to non-technical stakeholders. Regular team meetings and project updates are common, and strong communication skills are essential for translating complex data insights into actionable information for the broader research team. This multidisciplinary teamwork fosters innovation and ensures that analyses align with the goals of larger research projects.

What are Bioinformatics Data Analysts?

Bioinformatics Data Analysts are professionals who use computational tools and methods to analyze biological data, such as genomic sequences or protein structures. They work at the intersection of biology, computer science, and statistics to interpret complex datasets and draw meaningful insights for research or clinical applications. Their work supports areas like drug discovery, personalized medicine, and evolutionary biology. Typically, they collaborate with biologists, software engineers, and statisticians to solve complex biological problems. Strong analytical skills and proficiency with data analysis software are essential for this role.
More about Bioinformatics Data Analyst jobs
What cities are hiring for Bioinformatics Data Analyst jobs? Cities with the most Bioinformatics Data Analyst job openings:
What states have the most Bioinformatics Data Analyst jobs? States with the most job openings for Bioinformatics Data Analyst jobs include:
What job categories do people searching Bioinformatics Data Analyst jobs look for? The top searched job categories for Bioinformatics Data Analyst jobs are:
Bioinformatics Data Analyst jobs near you
Infographic showing various Bioinformatics Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,308 per year, or $45.8 per hour.
Bioinformatics Engineer

Bioinformatics Engineer

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

(ID: 2026-2391)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Axle is seeking a Bioinformatics Engineer to join our vibrant team at the National Institutes of Health (NIH) supporting the Rockville, MD.
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

Axle is seeking a skilled Bioinformatics Engineer to join our team supporting major pharmaceutical clients. In this role, you will review, assess, optimize, integrate, and extend production-grade bioinformatics workflows for high-throughput sequencing analysis. The ideal candidate combines deep expertise in genomics analysis methods with strong software engineering practices and cloud computing experience.
Key Responsibilities
  • Evaluate existing bioinformatics pipelines for performance, accuracy, and maintainability, identifying opportunities for optimization and enhancement
  • Develop, extend, and maintain Nextflow workflows for bulk RNA-seq, single-cell RNA-seq, DNA variant calling, methylation analysis, and emerging assay types
  • Architect scalable solutions capable of processing thousands of samples efficiently on Google Cloud Platform
  • Optimize data input/output operations across pipeline modules to minimize bottlenecks and reduce computational costs
  • Prepare and structure analysis outputs for visualization platforms and downstream statistical or machine learning applications
  • Implement best practices for workflow versioning, containerization, testing, and documentation
  • Collaborate with computational biologists, data scientists, and software engineers to integrate pipelines into broader analytical ecosystems
  • Stay current with advances in sequencing technologies and analytical methods, evaluating and incorporating new tools as appropriate

Required Qualifications
  • Master's degree in bioinformatics, computational biology, computer science, or a related field (or equivalent experience)
  • 3+ years of hands-on experience developing and maintaining bioinformatics pipelines in a production environment
  • Proficiency with Nextflow (DSL2) and familiarity with workflow management concepts
  • Strong experience with RNA-seq analysis (both bulk and single-cell) and DNA sequencing workflows (variant calling, methylation)
  • Working knowledge of Google Cloud Platform services (Compute Engine, Cloud Storage, Batch, Life Sciences API, or similar)
  • Proficiency in Python and/or R for scripting, data manipulation, and tool development
  • Experience with containerization technologies (Docker, Singularity)
  • Familiarity with version control systems (Git) and CI/CD practices
  • Strong understanding of genomic file formats (FASTQ, BAM, VCF, BED) and common bioinformatics tools (STAR, Salmon, BWA, GATK, Bismark, Cell Ranger, Seurat, Scanpy)

Preferred Qualifications
  • PhD in a relevant field
  • Experience with nf-core pipelines and community standards
  • Familiarity with workflow orchestration at scale (Cromwell, AWS Batch, or similar platforms)
  • Experience optimizing cloud costs and resource utilization for large-scale genomics workloads
  • Knowledge of data visualization tools and frameworks (e.g., R Shiny, Plotly, custom dashboards)
  • Experience in pharmaceutical, biotech, or regulated research environments
  • Familiarity with FAIR data principles and metadata standards

What We Offer
  • Opportunity to work on cutting-edge genomics projects with industry-leading pharmaceutical partners
  • Collaborative environment with experts in bioinformatics, data science, and software engineering
  • Professional development and growth opportunities
  • Competitive salary and benefits package

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
Salary Range
$125,000-$150,000 USD

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