Post-Doctoral Research Fellow, Biostatistics

Post-Doctoral Research Fellow, Biostatistics

Fred Hutchinson Cancer Research Center

Seattle, WA, United States

Post-Doctoral Research Fellow, Biostatistics


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.

A Post-Doctoral Research Fellow position is available in the Zhao Lab ( in the Biostatistics Program group within the Public Health Sciences Division at the Fred Hutchinson Cancer Research Center. This is a unique opportunity for someone who is interested in a collaborative environment and interacting with investigators with diverse experiences. The position is available for 2 years starting December 1st, 2018 (or by negotiation).


The successful applicant will work primarily on developing statistical and machine learning methods for the research in risk prediction, treatment selection, and clinical surveillance with applications to biomedical studies. The applicant will have opportunities to pursue research in broad statistical areas and have access to data from various clinical trials and electronic health records. These research works will lead to both methodological and collaborative publications in high-quality, peer-reviewed journals.


Minimum Qualifications:

  • Ph.D. or equivalent in Statistics, Biostatistics or in a similar quantitative field
  • Training in statistical methods and computational skills (R or MatLab)

Preferred Qualifications:

  • Experience with statistical learning, personalized medicine, causal inference, and clinical trials

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 or by calling 206-667-4700.

Not ready to apply? Connect with us for general consideration.

Please apply via recruiter’s website.

Quote Reference: 11971