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

(Associate) Scientist, Health Data

Seattle, WA ยท On-site

$67K - $67K/yr

... harmonized, analysis-ready resources that power genetic target discovery. We are looking for ... Familiarity with biomedical coding systems and ontologies (ICD-9/10, Phecodes, HPO, etc.) for ...

Experience working with clinical, genomic, imaging or other biomedical research data, ideally in Databricks or similar platform. * Demonstrated experience using Python, R, or SQL for data analysis ...

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Biomedical Data Analyst information

See Seattle, WA salary details

$38.7K

$94K

$154.8K

How much do biomedical data analyst jobs pay per year?

As of Aug 3, 2026, the average yearly pay for biomedical data analyst in Seattle, WA is $94,047.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,100.00 and $110,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Biomedical Data Analyst position, and why are they important?

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

What are typical daily responsibilities for a Biomedical Data Analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

What is a Biomedical Data Analyst job?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the most commonly searched types of Biomedical Data Analyst jobs in Seattle, WA? The most popular types of Biomedical Data Analyst jobs in Seattle, WA are:
Infographic showing various Biomedical Data Analyst job openings in Seattle, WA as of July 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 82% In-person, 6% Hybrid, and 12% Remote job distribution, with an average salary of $94,047 per year, or $45.2 per hour.

Post-Doctoral Research Fellow

Fred Hutchinson Cancer Center

Seattle, WA โ€ข On-site

$55K - $75K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Overview
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.
This position is for a Post-Doctoral Research Fellow to engage in biomedical studies that apply Artificial Intelligence (AI) approaches and methods with the long-term objective of improving clinical cancer care. The training, project development, and application will be mentored by Dr. Peter Nelson and Dr. Jeff Leek, and members of their research groups. The projects will integrate high dimensional clinical data with outcomes to specific therapeutics to generate 'patient similars' or 'digital twins'. The studies will also develop methodology to produce synthetic control cohorts for comparative assessments against novel therapeutics evaluated in clinical trials. The project will interface with clinical and laboratory investigators involved in the management of prostate cancer, and researchers developing bioinformatics methods that exploit AI technologies in the Fred Hutch Data Science Lab.
The Fred Hutch Data Science Lab is involved in large, education focused initiatives and biomedical research funded by NIH grants. These projects involve delivering training materials to researchers to help catalyze their work in a scalable manner, as well as innovating new methods for understanding or treating disease.
Our key projects include.
  • Primary research using Artificial Intelligence (AI) and bioinformatics and biostatistical methods to better personalize treatment of cancer patients from deep and diverse types of biomedical information.
  • Analysis of large-scale clinical, genomic, and molecular datasets.
  • Development and evaluation of predictive models and statistical approaches to understand treatment outcomes.
  • Integration of diverse data types to identify features associated with therapeutic response, resistance, or toxicity.
  • Collaboration with multidisciplinary teams to interpret findings and support translational applications.

Responsibilities
Specifically, the postdoc will have the following duties:
  • Developing new statistical models leveraging public and investigator collected biomedical data relating to the diagnosis and treatment of patients with cancer.
  • Writing new R packages or Shiny Apps for implementation of developed methodology.
  • Applying AI and machine learning (ML) tools (including Python, R, and possibly other languages) to test and evaluate biomedical hypotheses.
  • Developing benchmarks and working together with staff to evaluate algorithms on those benchmarks.
  • Contributing to writing papers and review of the current literature.
  • Other duties as assigned.

Qualifications
MINIMUM QUALIFICATIONS:
  • A PhD in biomedical sciences, epidemiology, biostatistics, statistics, computer science, machine learning, or another related statistical or computational discipline
  • Creative, thoughtful, and a communicative collaborator
  • Familiarity with Python, R, R packages, and RMarkdown
  • Experience with version control using GitHub
  • A willingness to learn new informatics content
  • A careful writer and diligent editor
  • Experience with statistics and machine learning

PREFERRED QUALIFICATIONS:
  • Experience using computational methods to analyze large-scale high-dimensional biomedical data relating to clinical information, genetics, genomics, radiomics, and/or population-based outcomes.
  • Strong track record of peer-reviewed publications, high-impact manuscripts, patents, or translational tools relevant to position.
  • Experience collaborating with clinicians, industry partners, or translational research teams.
  • Experience with Quarto, Python, and/or other programming languages.
  • Experience and interest in data science or informatics education.
  • Experience with deep learning applications for biomedical research or other aspects of scientific inquiry or data analysis.

The annual base salary range for this position is from $80,172 to $95,014, and pay offered will be based on experience and qualifications. This position may be eligible for relocation assistance.
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, income-based child care subsidy, tuition reimbursement, paid vacation (22 days per year), paid sick leave (up to 30 calendar days per occurrence of a qualifying reason), paid holidays (13 days per year), and paid parental leave (up to 4 weeks).
Additional Information
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.