Fred Hutchinson Cancer Research Center, home of three Nobel laureates, is an independent, nonprofit research institution dedicated to the development and advancement of biomedical research to eliminate cancer and other potentially fatal diseases. Recognized internationally for its pioneering work in bone-marrow transplantation, the Center's five scientific divisions collaborate to form a unique environment for conducting basic and applied science. The Fred Hutch, in collaboration with its clinical and research partners, the University of Washington and Seattle Children's Hospital, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!
A Postdoctoral Research Fellow position is available immediately in the Vaccine and Infectious Disease Division (VIDD) of the Fred Hutchinson Cancer Research Center (Fred Hutch), Seattle, WA. The successful applicant will work with Dr. Joshua T. Schiffer to develop mathematical models that characterize the temporal and spatial dynamics of various viral infections including HSV, EBV, CMV and HIV, and explore pharmacodynamics of available antiviral therapies and immunotherapies. Another area of research will be establishing models of response to chemotherapy using serial molecular measures of tumor burden. He/She will also collaborate with laboratory-based virologists, immunologists, oncologists, and clinical investigators from VIDD, to generate datasets appropriate for model testing and validation. The successful applicant will interact with Fred Hutch based faculty outside of VIDD, plus members of the University of Washington faculty in the Division of Virology and Division of Allergy and Infectious Diseases, and Department of Biostatistics. The Fred Hutch provides a highly interactive and supportive environment for junior investigators to grow and develop their career; it consistently ranks in the top 20 best places to work for postdocs, as surveyed by The Scientist.
Suitable applicants should have a PhD degree in statistics/biostatistics, computer science, applied mathematics, electrical/biomedical engineering, physics, computational biology, evolutionary biology or other fields with strong quantitative training. Strong programming skills in C/C++, Matlab and/or R are required. Previous experience with differential equation based models are a plus.
To apply, please include a cover letter describing your research interests and interest in the position, with CV and names of three references.
If interested, please apply online at http://track.tmpservice.com/ApplyClick.aspx?id=2192590-2647-8221