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 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.
Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking an experienced Data Scientist to work on multiple projects investigating the immunological correlates of vaccine protection for novel tuberculosis and HIV vaccine candidates. The immune response to a vaccine can be highly variable across individuals, particularly for new vaccines that are in active development. Understanding the factors that impact vaccine response and identifying the features of the immune response that confer protection can provide critical feedback for vaccine refinement. As part of the HIV Vaccine Trials Network supported by the NIH Division of AIDS and the Global Health Vaccine Accelerator Program, supported by the Bill and Melinda Gates Foundation we are leading major computational efforts to integrate immunological datasets generated from human vaccine trials. We are also supported by multiple grants to understand the basic biology of the immune system including the roles of the gut microbiome and the T cell receptor repertoire. Analysis datasets include multi-color flow cytometry, transcriptomics/RNAseq, T cell receptor repertoire sequencing, microbiome 16S and metagenomic sequencing, and multiplexed systems serology among others.
The Data Scientist works closely with the PI, a computational biologist and biostatistician, to develop data pipelines, plan and conduct analyses, design and implement data visualizations, and help prepare figures for funding proposals and publication. The ideal candidate should have an appetite to understand and analyze new types of data.