Job Title: Post-Doctoral Research Fellow, Biostatistics & HIV Prevention
Fred Hutchinson Cancer Research Center
Seattle, WA S
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Post-Doctoral Research Fellow, Biostatistics & HIV Prevention
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 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. Careers Start Here.
Population Sciences in the area of infectious diseases focuses on important questions: Where is the highest concentration of people with infectious disease, such as HIV/AIDS, tuberculosis, malaria, influenza and cholera? What are the risk factors for the population in these parts of the world in developing the disease? How can we work within communities to help change the behavior that presents the most risk? Join VIDD’s Population Sciences program faculty and staff by providing integral support of their specialized work in math modeling, epidemiology, and statistics in projects that are related to the spread and control of infectious diseases.
A postdoctoral research position in biostatistics is available at the FHCRC. The Hutchinson Center provides a challenging academic and supportive multi-disciplinary research environment.
We are seeking a recent or prospective doctoral graduate (PhD or equivalent qualification) with strong training in biostatistics or statistics. The postdoctoral fellow-research associate will work directly with Elizabeth Brown, and will conduct research on methodology for evaluating time-varying adherence and risk measures from HIV prevention trials for their associations with and prediction of HIV risk and intervention effectiveness. The work will consist of methodological development, statistical programming and simulation, and application of methods for data analysis. The products of the research will be academic presentations and peer-reviewed publications led by the post-doctoral fellow.
A PhD or equivalent degree is required in Statistics or Biostatistics. The position requires a highly motivated individual with excellent written and verbal communication skills.
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