DaSL Core Values
Read about DaSL’s Core Values and how we foster a supportive data science community at Fred Hutch and beyond.
DaSL is Hiring
Check out our jobs page for links to positions we have open and other Data Science jobs at the Fred Hutch.
DaSL Strategic Priorities
The Data Science Lab is the “Office of the Chief Data Officer” at Fred Hutchinson Cancer Center. We focus on the following strategic priorities.
Data Infrastructure, Partnerships and Strategy
Fred Hutch’s recent merger to form a hybrid clinical care and research institute brings a diversity of focus, skills, interests and capabilities that can spur innovation. To support this, DaSL works to create a robust and coordinated data ecosystem at Fred Hutch via guiding data infrastructure development with a comprehensive data strategy and integrating technology and philanthropic partnerships to leverage cutting edge innovations to advance our understanding of disease, therapeutics, and patient outcomes.
Data Governance & Policy
DaSL supports efforts across the Fred Hutch regarding data policy and governance including data use agreements, software licensing, data oriented tech-transfer issues and guidance regarding IRB oversight of data use. We also support efforts surrounding Fred Hutch-wide patient consent processes, community oriented cancer education efforts, and human data stewardship literacy in the clinical and research community.
Translational Analytics & Informatics
As a hybrid organization, we have the opportunity to make a direct connection via translational analytics and informatics between our clinical and research data capabilities. Our Translational Analytics and Research Informatics groups work together to bridge the gap between healthcare data and large scale laboratory generated datasets critical for supporting efforts such as the Sloan Precision Oncology Institute and clinical trials.
Data Product & Software Development
We aim to support both research and clinical staff by developing data products, including web applications, data analysis tools, process automation, and scientific software, to enable effective data use and integration into research and clinical care. Our collaborative approach not only supports researchers in piloting, sharing and publishing custom applications and software via our HCI group, but also involves partnering with IT to support integration of these tools into the Fred Hutch data ecosystem.
Training and Documentation
DaSL champions the democratization of data science expertise through comprehensive training and educational resources. Our training group develops training resources including in-person, hybrid and self-paced courses, workshops, seminars and documentation catering to a range of working professionals and trainees as well as the general public. We also lead and collaborate on the Biomedical Data Science Wiki, which aims to share best practices is open, community knowledgebase, and valuable source to learn about available data science resources at the Fred Hutch and beyond.
Data Science Communities
DaSL is committed to fostering a vibrant community centered around data science at Fred Hutch to encourage democratized access to data science expertise, collaborations and mentorship. We recognize the value of community connections across diverse research and clinical arenas, and strive to connect individuals to community through the efforts such as the Fred Hutch Data Slack workspace, our Monday Morning Data Science newsletter, as well as hosting periodic events to bring people together in the DaSL Lounge.