Our Resources
Data Science Training
Fred Hutch Courses & Community
We support a variety of data science training, education, community building and self-service resources that support data science education in a number of scientific areas that are broadly applicable.
Our Fred Hutch DaSL Research Affiliate team generates a wide variety of broadly relevant data science education materials that are available through a variety of self-service and event-based mechanisms. Check out their comprehensive collection of resources.
Peer to Peer Support
Data House Calls are a self-service way to leverage our staff’s expertise to help you get where you want to go with your data science skills.

Find our current events, peer to peer support, and other data oriented resources in the Fred Hutch Data Slack workspace which is open to anyone in the Fred Hutch Cancer Consortium.

Self-Service Tools and Documentation
We make our open source resources for tooling to support Workflows Integrating Large Data and Software (WILDS), available for our clinical and research communities at Fred Hutch through our GitHub organization.

The Fred Hutch Cancer Center’s Biomedical Data Science Wiki is a curated knowledgebase for biomedical data science and research computing best practices, how-to’s and other documentation.


