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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.
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Postdoctoral Research Fellow in Novel Vaccine Trial Design and Causal Inference
The Fred Hutchinson Cancer Research Center, Vaccine and infectious Disease Division, is recruiting for a post-doctoral fellow. The post-doctoral fellow will work in the group of The Center for Statistics and Quantitative Infectious Diseases under the supervision of Professor M. Elizabeth Halloran. The fellow will conduct methodological research in novel vaccine trial designs and causal inference. We are particularly interested in problems related to causal inference with interference and methods for estimating indirect/ spillover effects. The vaccine trials might be cluster-randomized studies or household based studies with the intent to estimate complex effects of vaccination in population. Other applications besides vaccine trials may also be of interest. Background in network theory might be helpful, but is not necessary. The research may also include developing methods for studying how vaccination selects for different variants of infectious agents.The position is available immediately and will remain open until filled. This position could be available for two to three years, depending on satisfactory completion of the first year. Pay will be commensurate with experience and general level of salary for postdoctoral fellows.
Successful candidates will have the following:
- PhD in Statistics, Biostatistics, Computational Biology or a related quantitative field
- Background in quantitative methods in infectious diseases
Please include contact information for 3 professional references with your application.
To apply for this position, please CLICK HERE