Welcome to the Fred Hutch Cancer Center's Data Science Education portal. At Fred Hutch, we understand the critical role data science plays in advancing cancer research and developing new, life-saving treatments. By leveraging computational biology, quantitative analysis, and cutting-edge data science techniques, our researchers are making groundbreaking discoveries that bring us closer to a cure. Equally important is our commitment to educating community members and the next generation of researchers, equipping them with the skills and knowledge necessary to navigate and innovate in this rapidly evolving field. Join us in our mission to end cancer through the power of data-driven research and education.
Data Science Lab Training
The mission of Data Science Lab (DaSL) Training Team is to empower people at Hutch and beyond with data literacy through training and community building to do more with data responsibly for health sciences.
We have two major types of training with resources online and in-person:
General Learning
Materials are available for free to the general public covering a wide range of data-related topics from introductory programming in R to specialized domains like genomics, environmental health, shared computing, version control, software development and more. Learners can gain foundational skills as well as explore cutting edge applications of data science.
Fred Hutch Learning
This suite of online and in-person materials provide Fred Hutch researchers and data scientists with training on Fred Hutch data-related practices and information on how to use tools at the Hutch, such as the computing cluster.
Other Training
Computational Biology
For Trainees and Researchers
We welcome both computational researchers who want to learn about biology, as well as biologists who want to learn computational methods. The Fred Hutch is well equipped to bring people in the latter category up to speed. Comp bio faculty run MCB 536, a course to introduce computational tools to biology graduate students, and our scientific computing documentation is comprehensive and up to date.
SeattleStatGROWS
For Undergraduate Students
8 Week Summer Program
SeattleStatGROWS is an 8-week, mentored, paid summer research internship program aimed at increasing awareness and interest in careers in statistics and data science research. Partnering with agencies such as Kaiser Permanente Washington Health Research Institute, students are paired with a mentor to complete projects within the fields of statistics and data science. Additionally, students participate in intensive R Studio training, attend professional development workshops, and engage in social activities.
Girls Who Code
For Girls 10th - 12th Grades
2-3 Sessions a Year and Meets Weekly After School
The Fred Hutch Girls Who Code club is an after-school club specifically designed for high school aged girls. It is organized and led by computational biology graduate students from Fred Hutch and UW. The club holds 2-3 sessions per year and meets on a weekly basis after school at the Fred Hutch campus.
Coding for Cancer
For Students 11th or 12th Grade
4 Week Summer Program
Computational skills are increasingly important in nearly all fields of biomedical research at the Hutch and beyond. Coding for Cancer connects students with computational biologists, teaches hands-on skills, and show how coding and computational tools are used in cancer research.
No prior coding experience is necessary.
A number of Fred Hutch scientific programs host weekly or monthly seminars. These events are listed on the events page.