Job Description

Data Scientist I

Job ID 14216 Type Regular Full-Time Company Fred Hutchinson Cancer Research Center Location US-WA-Seattle Category Biostatistics, Bioinformatics and Computational Biology

Overview

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. 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.

Responsibilities

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.

Qualifications

• 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

Our Commitment to Diversity

We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We are proud to be an Equal Opportunity and VEVRAA Employer. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability, marital or veteran status, sexual orientation, gender identity, political ideology, or membership in any other legally protected class. We are an Affirmative Action employer. We encourage individuals with diverse backgrounds to apply and desire priority referrals of protected veterans. If due to a disability you need assistance/and or a reasonable accommodation during the application or recruiting process, please send a request to our Employee Services Center at [email protected] or by calling 206-667-4700.

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