美国弗莱德哈钦森癌症研究中心博士后岗位

日期:2012-11-02 来源:海外博士后
http://www.pinjiao.com/bsh/guowaiboshihou/2012-11-02/postdoctor147666.html 海外博士后
Fred Hutchinson Cancer Research Center in Seattle home of three Nobel laureates is an independent nonprofit research institution dedicated to the development and advancement of biomedical research to
Fred Hutchinson Cancer Research Center in Seattle, 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 Hutchinson Center, in collaboration with its clinical and research partners, the University of Washington and Seattle Children’s, is the only National Cancer Institute-designated comprehensive cancer center in the Pacific Northwest. Join us and make a difference!

About the Position:

A Postdoctoral Research Fellow position is available immediately in the Vaccine and Infectious Disease Division (VIDD) of the Fred Hutchinson Cancer Research Center (FHCRC), Seattle, WA.  FHCRC provides a highly interactive and supportive environment for junior investigators to grow and develop their future career; it consistently ranks in the top 20 best places to work for postdocs, as surveyed by The Scientist.

Major Duties:

The successful applicant will work primarily on developing statistical methods with applications in the prevention and treatment of HIV AIDS and cancer. Data collected by the HIV Vaccine Trial Network (HVTN) studies, the Collaboration for AIDS VACCINE Discovery (CAVD), and the cancer Early Detection and Research Network (EDRN) will be used as a basis for the methodological works.

Qualifications:

Suitable applicants should have a PhD degree in biostatistics/statistics, applied mathematics, computational biology or other fields with strong quantitative training. Strong programming skills in R or similar languages are required. Proficiency in C/C++ is a plus. Experience with missing data methods, variable selection, diagnostic testing, biomarker evaluation, causal inference, survival analysis, or clinical study design a plus.
 

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