Postdoctoral Scholar, Cancer Prevention: Epidemiology, Nutrition, Genetics and Survivorship - Department of Epidemiology, University of Washington


CLOSING DATE: open until filled


JOB #: 15908

POSTED: June 2, 2020


We are seeking applications from strong candidates for a new postdoctoral fellowship position in Cancer Epidemiology at the Public Health Sciences at the Fred Hutchinson Cancer Research Center.  The postdoctoral fellow will work directly with Drs. Polly Newcomb and Ulrike Peters on multiple NIH funded large-scale molecular epidemiological studies for colorectal cancer risk and survival. These projects include discovery of novel gene-environment interactions, integrative tumor analyses, and risk prediction modeling.  Through international collaborative efforts we have developed large-scale molecular and genetic data in over 150,000 participants of increasing racial and ethnic diversity, including genome-wide genetic data, large-scale targeted tumor sequencing (including microbiome data), and harmonized detailed epidemiological, lifestyle and clinical data.

The successful applicant will work on a highly collaborative multidisciplinary research team to perform cutting edge analyses, implement novel statistical methodology, incorporate functional genetic information, and publish research results as first author.  Opportunities also exist for grant writing, study management, training of junior trainees, and contributing to other manuscripts as co-author.

The Fred Hutchinson Cancer Research Center provides a challenging academic and supportive multi-disciplinary research environment and the fellow will be able to take full advantage of training, education, and mentorship opportunities offered through the center. Please note that this is NOT a laboratory-based position.

Qualifications:  A Ph.D. or equivalent degree is required.  The position requires a highly motivated individual with excellent written and verbal communication skills who can work in a highly collaborative and fast-paced environment.  Expertise in analyses of molecular and genetic data and computational methods for the analysis of complex, high-dimensional genotype data is desirable.  Extensive efforts are made to identity and attempt to recruit underrepresented minority trainees. Of the 25 trainees supported by this training grant over the past 5 years, 7 were underrepresented minorities.



The Postdoctoral Scholar – Fellows in this position are funded by the NIH training grant.  The recipients in this appointment must comply with the NIH payback agreement as a condition of employment.

How to Apply:

Applicants should submit the following to the Program Director, Dr. Polly Newcomb via email to

  • Post-Doctoral Training Program Application Form (please see below)
  • Curriculum Vitae (CV)
  • Two letters of reference: Applicants can email letters directly to Program Director, and the Program Director should be addressed in the letters.
  • A one-page statement about applicant’s past and current research experience, post-doctoral training interests, and long-term career goals.
  • Briefly describe data analysis experience – models (e.g. regression, logistic regression, survival analysis) and packages (e.g. SAS, STATA, SPSS) along with degrees of experience with each model and package.

Application for Post-Doctoral Fellowship  


PhD dissertation title:

Date PhD/MD awarded or anticipated:

PhD dissertation advisor:

(US citizenship or permanent residency is required for these fellowships)

Application materials

  1. CV 
  2. Ask two people familiar with your work to write a letter of reference about your past research accomplishments and abilities as an independent researcher. Send letter to Polly Newcomb, PhD  via email or to, Polly A. Newcomb, PhD, Director, Cancer Prevention Training Program, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave. N., M4-B402, Seattle, WA 98109.
  3. A one page statement about your past and current research experience, your interests during post-doctoral training, and your long- term career goals.
  4. Briefly describe your data analysis experience— models (e.g., regression, logistic regression, survival analysis), packages (e.g., SAS, STATA, SPSS) and your degree of experience with each model and package.

Commitment to Equity, Diversity, and Inclusion

The Department of Health Services and the UW School of Public Health are committed to a diverse academic community. We view equity, diversity, and inclusion as essential to our mission, and we welcome applications from faculty who have demonstrated research, service and training experience in this area.  For more information, please see

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All
qualified applicants will receive consideration for employment without regard to race, color, creed,
religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,
gender identity or expression, age, disability, or protected veteran status.

Commitment to Diversity

The University of Washington is committed to building diversity among its faculty, librarian,
staff, and student communities, and articulates that commitment in the UW Diversity Blueprint