The Fred Hutch Data Science Laboratory is a group led by the FHCC Chief Data Officer, Jeff Leek.  Our purpose is to coordinate data science activities, build community, make data easier to use, and create value for Hutch scientists with data resources, partnerships, philanthropy and infrastructure.  If you are interested in learning more you can read about our team, learn a new data skill from our training resources, get support from the community, learn more about the diverse data efforts at the Hutch, our read about the latest from the DaSL.  Also, we welcome the FHCC community to contact us by emailing data@fredhutch.org at any time if you have ideas, comments, questions or want to partner with us in some way.  We look forward to connecting with you all and to what is next for the FHCC.

The Bioinformatics Shared Resource is staffed by dedicated bioinformatics specialists available to assist researchers with processing, exploring, and understanding genomics data.

Faculty 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 Public Health Sciences 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.

Members of the PHS Biostatistics Program employ statistics and mathematical principles to analyze biological and genetic data and processes and evaluate diagnostic, therapeutic and preventive medical methods and practices. We provide statistical collaboration and coordination for research programs within and outside the center. Our researchers work broadly, routinely partnering with scientists in other PHS programs, as well as biostatisticians in other Fred Hutch divisions.

Directed by Michael Zager and Jay Shendure; this partnership brings together a collection of top researchers, bioinformaticians, and engineers working to accelerate scientific data analysis and dissemination. Collectively we are building tools that infuse collaborating labs with the resources needed to accelerate research while exposing the community to new approaches and technologies. The Data Visualization Center focuses on several vital pieces; our data portals, supported by custom APIs, pipelines and components, and an infrastructure for data storage and compute.

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 Integrated Research Center harnesses these advances and expertise to spur innovation and open up new avenues for preventing and treating cancer and related diseases.

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.

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.

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.

The Vaccine and Infectious Disease Division 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 worldwide. The 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.

Collaborative Data Services (CDS) has many years of experience working with Fred Hutch investigators, and our approach to designing and implementing data collection, interviewing, and programming is rigorous, cost-effective and of high quality. CDS comprises a Programming Core and a Data Operations and Research Interviewing Core. Our teams use evidence based standards and effective quality assurance procedures from project design to final delivery. CDS manages an installation of the popular REDCap electronic data capture system and is a member of the REDCap consortium.  CDS also provides extensive training in REDCap which you can explore on the REDCap Training page.