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.
At Fred Hutch, we believe that the innovation, collaboration, and rigor that result from diversity and inclusion are critical to our mission of eliminating cancer and related diseases. We seek employees who bring different and innovative ways of seeing the world and solving problems. Fred Hutch is in pursuit of becoming an antiracist organization. We are committed to ensuring that all candidates hired share our commitment to diversity, antiracism, and inclusion.
The Ma Lab in the Division of Public Health Sciences at Fred Hutchinson Cancer Research Center is seeking a highly motivated post-doctoral fellow to develop novel statistical/computational methods for problems in microbiome research. Specific topics include, but are not limited to, statistical learning, compositional data analysis, graphical models, and high-dimensional inference. 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 two years, starting from September 1st, 2020 (or by negotiation).
The successful candidate will work with Dr. Jing Ma in developing novel statistical/computational methods in the context of microbiome and integrative genomics. He/she will have opportunities to join collaborative research projects within Fred Hutch and University of Washington as well as external collaborations.
The successful candidate will have:
- Completed a Ph.D. in Statistics, Biostatistics, Computer Science, or a closely related area
- Demonstrated a capacity to produce high quality research
- Strong programming skills in a statistical language (e.g. R, MATLAB, Python)
In addition, the ideal candidate will also have:
- Experience in statistical learning and high-dimensional data analysis
*Please include with your application:
- Two publication samples or preprints
- A one-page statement of research interests
- Contact information of three references
Our Commitment to Diversity
We are proud to be an Equal Employment Opportunity (EEO) and Vietnam Era Veterans Readjustment Assistance Act (VEVRAA) Employer. We are committed to cultivating a workplace in which diverse perspectives and experiences are welcomed and respected. We do not discriminate on the basis of race, color, religion, creed, ancestry, national origin, sex, age, disability (physical or mental), marital or veteran status, genetic information, 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 HR Operations at HRops@fredhutch.org or by calling 206-667-4700.