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 the Hutch Data Commonwealth, 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.

Team members discuss ongoing projects at the Hutch Data Commonwealth

With expertise in product engineering, clinical research informatics and applied data science, this team develops tools for data management and data analysis to support Fred Hutch researchers. It also works to build partnerships with other institutions and technology companies to accelerate the adoption of data technologies within Fred Hutch.

More Biology and Data Science Collaboration

HICOR informatics interface

HICOR IQ

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 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 by the Hutch Data Commonwealth 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 09, 2019