Interested in talking with other people about code, data, and computational methods? Check out the Training, Community and Finding Help page on the Fred Hutch Data Science Wiki for more information on what groups are meeting. You can also check the Calendar:
Find out about trainings, seminars, hackathons, and other data science and bioinformatics activities on the Coop Calendar.
Fred Hutch Biomedical Data Science Wiki: Wondering what computing resources are available here? Curious about how to start your study using human specimens? Check out and contribute to sciwiki.fredhutch.org for Fred Hutch-oriented documentation and how-to’s being actively curated by Fred Hutch staff. We welcome feedback and requests for content!
Newsletter: Want to get monthly updates on activities? Have items for the newsletter? Email us at firstname.lastname@example.org.
Check out our online discussion communities to message about all things data related.
See a full list of events on the Coop Calendar
Below is a list of groups at the Hutch that support or enable data-intensive research. Please email us if you have additions, edits, or concerns.
The Scientific Computing (SciComp) team supports Fred Hutch's science teams by providing support, training and consulting for high-performance computing, scientific software support, cloud computing(AWS, Azure), Unix database services, scientific data management and Linux desktop support.
Contact: Help Desk
Recent advances in statistics and computational techniques as well as experimental technologies are transforming how we generate and analyze data. This big data has big potential. But that potential can only be fully realized through collaboration between researchers with complementary skill sets, approaches and resources. The Translational Data Science IRC harnesses these advances and expertise to spur innovation and open up new avenues for preventing and treating cancer and related diseases.
The Herbold Computational Biology Program at Fred Hutch was established to bring a new generation of biological researchers to the Hutch whose training in biology is accompanied by advanced training in quantitative sciences, including physics, statistics, mathematics and computer science.
Contact: Melissa Alvendia
The Statistical Center for HIV/AIDS Research and Prevention (SCHARP) at Fred Hutch provides statistical support and data management to researchers worldwide in the fight against HIV/AIDS. The SCHARP group consists of approximately 120 staff collectively that are skilled in clinical and lab data management, programming, statistics, IT data systems, quality assurance and project management.
Contact: Jennifer Adams, Administrative Manager
Seattle Translational Tumor Research (STTR) bring together experts across more than fifteen blood, lymphatic and solid tumors – bladder, brain, breast, colorectal, head & neck, leukemia, lymphoma, lung, myelodysplastic/myeloproliferative disease, myeloma, ovary, pancreas, prostate and sarcoma.
Contact: Rachel Galbraith
The Genomics Shared Resource provides expertise to support the generation of genomics-based data. Services are provided through three specialized laboratories: 1) DNA Array, 2) Genetic Analysis, and 3) High-Throughput Screening. The Resource has partnered with the Bioinformatics Shared Resource to provide a streamlined set of complete services.
and staff in the Clinical Biostatistics group perform methodological
and collaborative biostatistical research. The collaborative work takes
place with investigators within the Clinical Research Division (CRD) at Fred Hutch as well as with other investigators within the Fred Hutch/ UW Cancer Consortium.
The statisticians in the Clinical Biostatistics program are
instrumental in designing and analyzing data from the experiments that
drive our clinical research. Our team of 11 statisticians collaborates
extensively with the clinical investigators in the division. We lead the
design, analysis, and interpretation of results from studies to obtain
the most accurate, evidence-based scientific conclusions to best inform
patient treatment and care.
The Biostatistics, Bioinformatics and Epidemiology Program (BBE) supplies the statistical and mathematical modeling expertise needed within Fred Hutch’s Vaccine and Infectious Disease Division to accomplish our ambitious objective of eliminating disease and death attributable to infection. We are also accelerating research to confront the growing burden of cancer worldwideThe BBE's nearly 34 faculty members model epidemics, research statistical methods to design complex global clinical trials, and analyze biological assays to better understand infectious disease processes and immune responses.
The Comp Bio Postdoc and Grad Student Group is self-governed and designed to facilitate collaboration and community amongst postdocs and graduate students at the Hutch that have an interest in Computational Biology. The bimonthly meeting gives postdocs and graduate students a great opportunity to practice an upcoming talk, go over personal or lab research, discuss new technology that is being used in lab or field, discuss a journal or research question, or come up with a social activity.
Contact: Samantha Distel