March 12, 2020 at 10:17 am #email@example.comParticipant
Post-Doctoral Research Fellow, Mathematical Biology
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 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 Disease Division (VIDD) of the Fred Hutchinson Cancer Research Center. The successful applicant will work with Dr. Fabian Cardozo-Ojeda and Dr. Josh Schiffer (see Schiffer Group Webpage) to develop mathematical models that focus on optimizing treatment curative strategies for HIV including but not limited to therapeutic vaccination, latency reversal agents, neutralizing antibody delivery, CAR T cells and antiproliferative agents.
The incumbent will 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 Infectious Diseases.
Suitable applicants should have a Ph.D. degree in statistics/biostatistics, computer science, applied mathematics, biomedical engineering, physics, computational biology, evolutionary biology or other fields with strong quantitative training. Strong programming skills in C/C++, Matlab and/or R and previous experience with differential equation-based models are required. Basic knowledge in control theory is a plus.
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