• Post-Doctoral Research Fellow, Computational and Math Modeling of Cholera Transmission

    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 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.

    Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking to fill a post-doctoral position studying epidemiological transmission cholera. This is a full-time position with excellent benefits. Funding is available for up to two years. Applications will be continuously received and evaluated until the position is filled.


    A Post-Doctoral Research Fellow position with focus on development, refinement, and utilization of different classes of epidemiological transmission cholera models, is available in the Vaccine and Infectious Disease Institute at Fred Hutch. Applicant will be joining a dynamic multi-disciplinary group to work on optimizing vaccine allocation for cholera vaccines. This research will be used by the Global Taskforce for Cholera Control to inform and improve national cholera control plans in affected countries. Among the key objectives of the modeling work are improving the understanding of cholera transmission, informing effective public health campaigns, and guiding rational development of new vaccine interventions.  The position will require a substantial amount of programming and computation, excellent oral and writing communication skills.


    To apply, please submit a single PDF document containing (1) cover letter including the names and contact information of three references (2) curriculum vitae.

    Required qualifications:

    • PhD or equivalent degree in applied mathematics, statistics/biostatistics, infectious disease epidemiology, population biology, theoretical physics, computer science or a similarly quantitative discipline.
    • Proficiency in at least one scientific computing software (Python, Matlab, etc).
    • Excellent oral and writing communication skills

    Preferred qualifications:

    • Research experience in mathematical modeling of infectious disease transmission
    • Experience with reviewing/analyzing scientific literature
    • Research experience in mathematical optimization of resources
    • Experience with statistical methods of model calibration or longitudinal data analysis
    • Peer-reviewed scientific publications

    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.


    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed