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. Students will receive a $1000 award upon completion of the program.
This program is a collaboration among science education staff and scientists who are active computational biology researchers. For more information please see our program flyer.
The application for the 2022 Coding for Cancer program is now open! Please go to the link below to submit your application by 11:59 pm PT on April 7th, 2022. For more information on the program and application cycle see the "Details" tab below.
This course will teach the R programming language and environment. The program will accommodate a range of prior knowledge, including those with no coding experience. We will work with students who do not have access to technology to gain the necessary equipment and internet for the duration of the program. Students will receive a $1000 award upon completion of the program.
The program is specifically designed for students from backgrounds systemically excluded from careers in biomedical science as defined by the National Institutes of Health.
Sam is currently a PhD student at the University of Washington, where he uses computational techniques to investigate the evolutionary origins of a contagious cancer in clams. Prior to starting graduate school, he majored in zoology at the University of Vermont (studying bacteria that caused cow udder infections) and worked as a technician at Fred Hutchinson Cancer Research Center (studying evolutionary principles governing cellular cooperation).
Maggie is from Bozeman, MT and attended Montana State University where she majored in Neuroscience and Math. Currently, she is an PhD student at the University of Washington and Fred Hutch studying immune receptor diversity using statistical inference on large datasets.
Questions? Email firstname.lastname@example.org
Coding for Cancer is made possible in part by Pathways to Cancer Resarch (R25CA221770), a Youth Enjoy Science Award (YES/CURE), from the National Cancer Institute (NCI).