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. Robert Bradley in his lab at Fred Hutch.

Translational Data Science Integrated Research Center

Led by biophysicist and computational biologist Dr. Robert Bradley, 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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