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 Hutchs 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 nations first cancer prevention research program, as well as the clinical coordinating center of the Womens 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. Analysis datasets include those generated by multicolor flow cytometry, transcriptomics/RNAseq, T cell receptor repertoire sequencing, mass spectrometry, microbiome 16S and metagenomic sequencing, and multiplexed systems serology among others.
The Data Scientist works closely with the PI, a computational biologist and biostatistician, and a growing team, 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.
M.A., M.S. in computational biology, biostatistics, computer science, data science, bioinformatics or a related field. Candidates with Ph.D. also encouraged to apply.
2 - 4 years of hands-on biological data science experience
Proficiency in Python and/or R programming, with knowledge of the appropriate tools and libraries for working with biological data
Demonstrated rigor and reproducibility through well organized and well documented code and/or committed to a public code repository (e.g. github)
Experience analyzing next-generation sequencing data (e.g. transcriptomics, or immune repertoire)
Preference for candidates having familiarity with dimensionality reduction, regression models, machine learning and/or cloud infrastructure for scalable scientific computing
Outstanding organizational skills, attention to detail and effective communication are essential
Eagerness to learn about immunology, vaccines, microbial ecology, biostatistics or whatever the science demands
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At Fred Hutchinson Cancer Research Center, teams of world-renowned scientists and humanitarians work together to prevent, diagnose and treat cancer, HIV/AIDS and other diseases. Researchers are discovering new ways to detect cancers earlier, improve treatments, and learn how to prevent cancers from growing. Although Fred Hutchinson opened its doors in 1975, its history began about 20 years before that. In 1962 Fred Hutchinson envisioned a center devoted to studying cancer, a disease that took his brother’s life. Today Fred Hutchinson is contributing to the next waves of breakthrough treatments and prevention strategies. Fred Hutchinson collaborates with the Seattle Cancer Alliance, the National Cancer Institute, and the University of Washington.