Position Title: Post-Doctoral Fellow in Biostatistics
Applications Due: Open until filled, applications will be reviewed on a rolling basis.
Company Information: The Ma Lab in the Division of Public Health Sciences at Fred Hutchinson Cancer Center is seeking a highly motivated post-doctoral fellow to develop novel statistical/computational methods for problems in microbiome science. Specific topics include, but are not limited to, high-dimensional data analysis, multivariate association analysis, graphical models and network analysis, etc. Prior experience in microbiome science is not required. 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 Summer 2024 (or by negotiation).
Fred Hutch is an independent, nonprofit, unified adult cancer care and research center that is clinically integrated with UW Medicine, a world leader in clinical care, research and learning. The first National Cancer Institute-designated cancer center in the Pacific Northwest, Fred Hutch’s global leadership in bone marrow transplantation, HIV/AIDS prevention, immunotherapy, and COVID-19 vaccines has confirmed our reputation as one of the world’s leading cancer, infectious disease and biomedical research centers. Based in Seattle, Fred Hutch operates eight clinical care sites that provide medical oncology, infusion, radiation, proton therapy, and related services, and network affiliations with hospitals in five states. Together, our fully integrated research and clinical care teams seek to discover new cures to the world’s deadliest diseases and make life beyond cancer a reality.
Duties and Responsibilities: The successful candidate will work with Dr. Jing Ma in developing novel statistical/computational methods in microbiome science. He/she will have opportunities to join collaborative research projects within Fred Hutch and University of Washington as well as external collaborations.
Position Qualifications: The successful candidate will have
Completed (or nearly completed) a PhD in Statistics, Biostatistics, Computer Science, or a closely related area prior to their appointment;
Demonstrated a capacity to produce high quality research;
Strong programming skills in a statistical language (e.g. R, Python).
In addition, the ideal candidate will also have
Salary Range: Competitive!!!
How to Apply: Please email the following materials to firstname.lastname@example.org, using the subject line “Ma Postdoc in Biostatistics”:
two publication samples or preprints;
a one page statement of research interests;
contact information of three references.