• Post-Doctoral Research Fellow, Data Science

    Job ID
    Regular Full-Time
    Fred Hutchinson Cancer Research Center
    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.


    The Gottardo Lab is a Research Lab within the Computational Biology department at the Fred Hutchinson Cancer Research Center. We develop statistical methods and computational tools for managing and analyzing high-throughput biological data including single-cell RNA-seq, flow-cytometry, CyTOF and CITE-seq, to name a few. We then utilize these tools, in collaboration with immunologists and clinicians, to analyze high-dimensional data from pre-clinical and clinical trials in an effort to accelerate the development of new cancer immunotherapies and vaccines. Our lab participates in large collaborative efforts funded by the NIH, Gates Foundation and the CZI including the Human Immunology Project Consortium, the Human Cell Atlas, the Cancer Immunotherapy Trial Network and the Collaboration for AIDS Vaccine Discovery.


    As a lab, we value inclusion and a diversity of backgrounds and perspectives to inform our work. We believe in supporting each other through mentorship and providing resources for professional development. Given these values, we strive to make our recruitment and promotion processes fair and transparent. Therefore, we strongly encourage all individuals with an interest in the position to apply. To learn more about our lab visit rglab.org.


    • Develop statistical and computational methods for analyzing and integrating high dimensional single-cell data generated by cutting-edge technologies including single-cell RNA-seq, CITE-seq, flow cytometry and CyTOF
    • Work with immunologists and clinicians to apply these tools in the context of cancer immunotherapy and vaccine development.


    Minimum qualifications:

    • Recent PhD degree in statistics/biostatistics, computer science, or other fields with strong quantitative training or experience
    • Strong programming skills in C/C++, R or similar languages
    • Ability to communicate effectively and work in a team-based setting

    Preferred qualifications:

    • Background in Biology
    • Previous experience with genomics or immunological data analyses
    • Experience with good software development practices (e.g. design, unit tests, documentation, code review) for reproducible science

    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 escmail@fredhutch.org or by calling 206-667-4700.


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