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Bioinformatics Data Analyst Jobs in Seattle, WA (NOW HIRING)

(Associate) Scientist, Health Data

Seattle, WA · On-site

$67K - $67K/yr

MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health ... analysis and tracing them back to their cause. * Basic proficiency in R, Python, or a similar ...

MS or PhD in epidemiology, biostatistics, genetics, bioinformatics, data science, public health ... analysis and tracing them back to their cause. * Basic proficiency in R, Python, or a similar ...

This position is engaged in the field of Spatial transcriptomics and bioinformatics. This position supports the analysis of spatial transcriptomic data generated from kidney biopsy tissue using 10x ...

... Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field. Proficiency in data science, machine learning, and analytics, including ...

Computational biology/bioinformatics with emphasis on spatial transcriptomics, proteomics, and ... Work includes NGS data processing, spatial barcode mapping, singlecell & spatial analysis, and cell ...

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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 31, 2026, the average hourly pay for bioinformatics data analyst in Seattle, WA is $52.15, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $55.82 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.
What are popular job titles related to Bioinformatics Data Analyst jobs in Seattle, WA? For Bioinformatics Data Analyst jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Data Analyst jobs in Seattle, WA look for? The top searched job categories for Bioinformatics Data Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Bioinformatics Data Analyst jobs? Cities near Seattle, WA with the most Bioinformatics Data Analyst job openings:
Infographic showing various Bioinformatics Data Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $108,463 per year, or $52.1 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Job description

Fred Hutchinson Cancer Center is an independent, nonprofit organization providing adult cancer treatment and groundbreaking research focused on cancer and infectious diseases. Based in Seattle, Fred Hutch is the only National Cancer Institute-designated cancer center in Washington.

With a track record of global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy and COVID-19 vaccines, Fred Hutch has earned a reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.

At Fred Hutch we value collaboration, compassion, determination, excellence, innovation, integrity and respect. Our mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us stronger. We seek employees who bring different and innovative ways of seeing the world and solving problems.

The mission of Fred Hutchinson Innovation Lab (FHIL) is to help with adoption and to best leverage rapid technological developments that empower translational research related to cancer immunotherapy. FHIL serves the Fred Hutch Cancer Center and the Immunotherapy research community, which is a highly dynamic and collaborative environment.

As an integral member of FHIL, the Bioinformatics Analyst I/II provides collaborative and innovative analytic support to advance a broad range of projects mostly related cancer immunotherapy, leveraging single-cell and spatial transcriptomic data to support and empower cutting-edge research. This position will involve working closely with a broad range of investigators at Fred Hutch and beyond. The Bioinformatics Analyst will be responsible for working with data from current and newly developed commercial assays, and for construction of analytic datasets sourcing elements from potentially diverse data sources, implementation of exploratory and predictive analyses, visualization of data, and communication and presentation of results.

This specific position will provide programming, analytic, and data-processing support for projects requiring supervised and unsupervised machine learning. Specific responsibilities include working with scientific investigators, senior data scientists and external collaborators; defining and programming data-processing pipelines for data analysis; conducting both prescribed analytical plans and exploratory data analyses; compiling of statistical analyses and the creation of data visualizations. This position will report to the FHIL Research Lab Manager and take direction from the FHIL Scientific Director.

A cover letter is preferred upon application that describes your interest in the position and any relevant experience. 


Responsibilities will include a variety of analysis methodologies and data file storage/organizational duties. The following are typical tasks the successful applicant will perform:

  • Analyze large sequence datasets from diverse workflows including bulk RNA-seq, single-cell sequencing, and spatial transcriptomics platforms.
  • Perform quality control and end-to-end analysis of large sequence datasets from diverse workflows.
  • Ensure integrity and consistency of primary data, track experimental methods and metadata, define standardized analysis pipelines.
  • Identify best-practice bioinformatics tools and strategies to meet the needs of proposed projects.
  • Consult with researchers on sound experimental design.
  • Review current literature to identify and adopt software and methodologies, making new analysis capabilities available to the Hutch community.
  • Provide figures and written sections to document methods and results for manuscripts, presentations, and grant applications.
  • Ability to learn new tools and content quickly and independently (although training will be given for specific types of analysis performed in the lab).
  • Other duties as assigned.

MINIMUM QUALIFICATIONS:

Bioinformatics Analyst I:

  • Bachelor’s degree in Statistics, Biostatistics, Bioinformatics or equivalent education.
  • 0-2 years of work experience with bioinformatics in the relevant scientific domain.
  • Proficiency in, at least, one modern scripting or programming language (Python, R, etc).

Bioinformatics Analyst II:

  • Bachelor’s degree in bioinformatics, computational biology, genetics, or related field with at least three years’ direct experience in computational analysis of large sequence-based molecular data sets.
  • Direct experience must include best-practice germline & somatic variant calling from exome capture data, analysis of bulk RNA-seq data with multiple contrasts, analysis of multimodal single-cell profiling data, epigenetic profiling, gene set enrichment, and integration of data across multiple modalities (e.g., epigenetic profiling and RNA-seq).
  • Effective use of shell scripting and significant fluency in R and Python 3 are essential.
  • Familiarity with commonly used Bioconductor packages, ggplot, tidyverse etc.
  • Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).

PREFERRED QUALIFICATIONS:

  • MS degree in Computational Biology, Computer Science, or Bioinformatics, with at least 3 years direct experience in computational analysis of large sequence-based molecular datasets.
  • Experience analyzing sequence data with effective use of shell scripting.
  • Familiarity with version control and other software development best practices.
  • Experience with workflow manager such as NextFlow
  • Record and track analysis processing in GitHub, manage data transfers.
  • Facility with commonly used Bioconductor packages, ggplot, tidyverse etc. Ability to generate and customize common data visualizations (PCA plots, volcano plots, Circos plots, etc).
  • Excellent written and verbal communication skills are absolutely required.
  • Ability to learn new tools and content quickly and independently.
  • Strong oral and communication skills.
  • Willing to work onsite most days (some flexibility in remote work).
  • Ability to work collaboratively with a team of individuals with diverse backgrounds and expertise.
  • A strong interest in developing reproducible analyses and reports.
  • Experience working in and developing cloud computing environments is a plus.
  • Knowledge of and interest in immunology/molecular biology a plus.

Bioinformatics Analyst I:The annual base salary range for this position is from $80,172 to $104,250, and pay offered will be based on experience and qualifications.

Bioinformatics Analyst II: The annual base salary range for this position is from $80,475 to $120,681, and pay offered will be based on experience and qualifications.

A cover letter is preferred upon application that describes your interest in the position and any relevant experience. 
Although Fred Hutch is not sponsoring most H-1B visas at this time, candidates who already hold an H-1B sponsored by another organization and are currently in the U.S. may be eligible for this position.
Fred Hutchinson Cancer Center offers employees a comprehensive benefits package designed to enhance health, well-being, and financial security. Benefits include medical/vision, dental, flexible spending accounts, life, disability, retirement, family life support, employee assistance program, onsite health clinic, tuition reimbursement, paid vacation (12-22 days per year), paid sick leave (12-25 days per year), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).


We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to Human Resources at hrops@fredhutch.org or by calling 206-667-4700.