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.
A Postdoctoral Research Fellow position is available immediately in the Vaccine and Infectious Diseases Division (VIDD) of the Fred Hutchinson Cancer Research Center in Seattle, Washington. We are seeking a recent or prospective doctoral graduate with strong training in biostatistics or statistics to conduct biostatistical research, with a focus on developing and applying statistical methods for evaluating HIV prevention interventions, e.g., vaccines and antiretroviral-based interventions, and for guiding their implementation.
The work will consist of methods development, statistical programming and simulation, and application of methods for data analysis. It will include collaboration on clinical trial design and data analysis with investigators in one or more NIH-funded HIV prevention networks, the HIV Vaccine Trials Network (HVTN), the HIV Prevention Trials Network (HPTN), and the Microbicide Trials Network (MTN), and application of the methods to large, landmark trials in HIV prevention. The products of the research will be academic presentations and peer-reviewed publications led by the post-doctoral fellow. The fellow will work directly with a group of faculty biostatisticians, led by Holly Janes.
An important component of the work is using tools and software packages that enable reproducible research, efficient data analysis, and research collaboration.
A PhD or equivalent degree is required. The position requires a highly motivated individual with excellent written and verbal communication skills. Some experience with creating R packages, and with tools for reproducible research (knitr and R Markdown for report generation; Gist for code-sharing; interactive R with Shiny; Dropbox and Github for collaborating and version control) are desirable.
This is a full time position, with salary based on NIH scale + excellent benefits.