Cures Start Here. At Fred Hutchinson Cancer Research Center, home to three Nobel laureates, interdisciplinary teams of world-renowned scientists seek new and innovative ways to prevent, diagnose and treat cancer, HIV/AIDS and other life-threatening diseases. Fred Hutch’s pioneering work in bone marrow transplantation led to the development of immunotherapy, which harnesses the power of the immune system to treat cancer. An independent, nonprofit research institute based in Seattle, Fred Hutch houses the nation’s first and largest cancer prevention research program, as well as the clinical coordinating center of the Women’s Health Initiative and the international headquarters of the HIV Vaccine Trials Network. Careers Start Here.
About the Gottardo team: Professionally, we are part of the Vaccine and Infectious Disease Division of Fred Hutch in Seattle. We develop statistical methods and software tools for the analysis of high throughput biological data with an emphasis on immunology and vaccine research. We work with bench scientists and clinicians to understand and ultimately help develop vaccines and/or cure severe diseases such HIV, malaria, and cancer. We come from a wide range of places: some nearby, like Olympia, and others farther away like France, Kenya, Russia, South Korea, Israel, Vietnam, China, and Canada. Our backgrounds and training are in Statistics, Computer Science, Web Development, Bioengineering, and Computational Biology. We like to enjoy the many benefits of living in Seattle through outdoor activities (lab ski day!), happy hours by the water, or game nights. Learn more about us at rglab.org and see some of our work on GitHub (github.com/RGLab), www.immunespace.org, or dataspace.cavd.org.
The Biostatistics, Bioinformatics & Epidemiology (BBE) Program is seeking a Systems Analyst Programmer II / III. The Systems Analyst Programmer will work on the CAVD DataSpace (the Collaboration for AIDS Vaccine Discovery - www.cavd.org) under Raphael Gottardo's Vaccine Immunology Statistical Center research award. The successful candidate will be involved in data wrangling, cleaning, and packaging using R / SQL to support the analysis of immunological data farther down the pipeline. Related to the data engineering work, the systems analysis programmer will also be involved in the database design and maintenance, and the development of algorithms for processing and analyzing biological datasets. Finally, the position candidate will be expected to participate in daily and weekly team meetings.