Data-Intensive Bioscience

The Powerful Convergence of Biology and Data Science

Biomedical research has become increasingly data intensive, requiring new tools, expertise and collaborations between lab researchers and data scientists. At Fred Hutch, we support our investigators in making the most of their data by providing state-of-the-art data infrastructure and data science support in areas that include data engineering, data integration, data mining, database development, natural language processing, machine learning, computer vision, mobile app development and bioinformatics. Our strengths in this area are bolstered by collaborations and partnerships with other research institutions and industry-leading technology companies.

Much of this work takes place within two teams at Fred Hutch: the Translational Data Science Integrated Research Center, which was launched in 2018, and Shared Resources, which develops innovative data science tools, infrastructure and collaborations to support Fred Hutch investigators.

Dr. Raphael Gottardo gives a speech during Fred Hutch's Immunotherapy Integrated Research Center faculty retreat

Translational Data Science Integrated Research Center

Led by statistician and computational biologist Dr. Raphael Gottardo, this center offers Fred Hutch investigators powerful ways to analyze and use their research data so their discoveries can more quickly benefit patients. It aims to fuel new research collaborations and infuse data science throughout the organization.

Data scientists working together.

Accelerating Discoveries

A new generation of computational technologies is revolutionizing cancer research. At Fred Hutch, we invest heavily in data science infrastructure and expertise so we can get to new discoveries faster using the vast and growing amounts of available genetic and health data.

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More Biology and Data Science Collaboration

HICOR informatics interface.


This informatics platform integrates cancer registry and health insurance claims data to provide ready-to-use information about the quality and cost of cancer care across Washington state. Payers, providers and researchers can use the data to identify opportunities to improve care, reduce costs and identify potential areas of collaboration.

Illustration of data science collaboration.

The Coop

The Coop is a cooperative that includes all groups and individuals at Fred Hutch who are interested in bioinformatics and data science. The problems they are trying to solve include duplication of effort, wasted resources (including time and money), lack of shared knowledge and best practices, and lost collaboration opportunities.

Cascadia Data Alliance Illustration.

Cascadia Data Alliance

Created in partnership with regional companies in the technology, biomedical, and health care industries, the Cascadia Data Alliance works to develop a health research ecosystem that facilitates best practices in data governance, access, and management.

Typing on a laptop keyboard


Fred Hutch researchers are testing an internet-based self-management program to improve outcomes for cancer patients who have had a stem cell transplant. INSPIRE employs health informatics to personalize each patient’s care plan and monitor patient stress levels.

Last Modified, September 21, 2021