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

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer - LLMs & Generative AI Truveta is the world's first health provider led ... Experience in healthcare, biomedical informatics, or clinical data modeling. * Familiarity with ...

Machine Learning Engineer - LLMs & Generative AI

Seattle, WA · On-site +1

$155K - $175K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Machine Learning Engineer - LLMs & Generative AI Truveta is the world's first health provider led ... Experience in healthcare, biomedical informatics, or clinical data modeling. * Familiarity with ...

... and data archiving - Honor acceptance criteria and gating - flag out-of-tolerance results ... biomedical engineering, or a related technical field -- or equivalent hands-on lab/test experience ...

... documents data / decisions in a detailed and structured way - tailors way to best present ... Minimum Qualifications [1] Bachelors or Master's Degree in Mechanical / Electrical / Biomedical ...

... data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across a wide range of disciplines Provide mentorship to ...

Showing results 21-40

Biomedical Data Engineer information

See Seattle, WA salary details

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$71

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How much do biomedical data engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for biomedical data engineer in Seattle, WA is $71.67, according to ZipRecruiter salary data. Most workers in this role earn between $61.01 and $80.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What job categories do people searching Biomedical Data Engineer jobs in Seattle, WA look for?

The top searched job categories for Biomedical Data Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Biomedical Data Engineer jobs?

Cities near Seattle, WA with the most Biomedical Data Engineer job openings:

Infographic showing various Biomedical Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $149,082 per year, or $71.7 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 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.

The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch is a full service statistical and data management center focused on HIV prevention research. SCHARP has an annual budget of over $40 million, more than 140 employees and is currently managing over 40 active phase I - III clinical trials in over 150 clinical sites around the world. SCHARP is seeking a Lab Data Specialist to draws on their expertise in assays, laboratory data management practices, and analysis to support improvements to assay data processing and standardization of assay data submission and assay results dataset generation to aid in data analysis that is informed by the assays. They work with Lab Data Managers, programmers, Software Development Engineers, project managers, business analysts and Statistical Research Associates as part of laboratory data pipeline development and operations to define, document, and maintain inbound and outbound data file and format specifications. The Lab Data Specialist designs and manages internal data structures for storage and curates laboratory related metadata for data processing. They are also a subject matter expert for assay data collection, processing, and analysis in the organization. 

Responsibilities
  • Works as part of a team to help develop laboratory data pipelines:
    • Interfaces between SCHARP lab data teams, Software Development Engineers, and programmers to define and document requirements for assay data pipeline configurations, system builds and designs.
    • Collaborates with external laboratories, SCHARP programmers, and statisticians to develop plans for examining data quality; including developing metrics for data quality and QC resolution to inform quality control and assurance decisions.
    • Consults with SCHARP and partner organization statisticians to determine methods for tracking metadata throughout the lab data QC process.
  • Leads the development and management of laboratory data standards in SCHARP including:
    • Data models for data storage and inbound and outbound laboratory data pipelines that includes field names, data types, controlled terminology, and other associated metadata required for data processing.
    • Specification format for documenting data models that will be used by programmers for pipeline implementation and statisticians and analysts for data consumption.
    • Practices for creating and revising data models and specification documents.
    • Working with SCHARP CDISC analysts and network partners to implement CDISC standards into laboratory data.
  • As a subject matter expert on laboratory assays and practices, supports other SCHARP staff with relevant technical information via presentations, trainings, or ad-hoc questions.
  • Maintains knowledge of laboratory assays and practices through participation in partner conferences, taking relevant classes and/or training seminars, and reading journals.
  • Provides feedback to SCHARP Senior Management for the development of infrastructure or software tools needed to capture and process laboratory data.
  • Other duties as assigned.
Qualifications

MINIMUM QUALIFICATIONS:

  • Bachelor's degree in a scientific, technical, or health-related field such as biology, computer science, or information science.
  • 6 years of work experience in a laboratory, or performing data/information management or analysis, that is complementary to education.
  • Experience developing data specifications for the purpose of storage and interchange.
  • Excellent written and verbal communication skills, with the ability to work well in multi-faceted teams.

PREFERRED QUALIFICATIONS:

  • Graduate degree in a scientific, technical, or health-related field.
  • Experience and advanced knowledge of clinical and research lab assays, data and processes.
  • Experience modelling complex, high-dimensional data.
  • Experience programming in a modern procedural, declarative, or statistical programming language such as SAS, R, Perl, Python, or SQL.

The annual base salary range for this position is from $97,822 to $146,682, and pay offered will be based on experience and qualifications.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).

Additional InformationWe 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.Employment Type: FULL_TIME