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Post-Doctoral Research Fellow, Mathematical Modeling in Infectious Disease

Post-Doctoral Research Fellow, Mathematical Modeling in Infectious Disease

Job ID 
10001
Type 
Regular Full-Time
Company 
Fred Hutchinson Cancer Research Center
Location 
US-WA-Seattle
Category 
Post-Doctoral Research Fellows and Associates

More information about this job

Overview

Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is seeking a Postdoctoral Research Fellow to work on methods for effective model configuration and calibration using data collected by the HIV Prevention Trials Network (HPTN) as a basis for the methodological work. 

 

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.

Responsibilities

A Postdoctoral Research Fellow position with focus on development, refinement, and utilization of different classes of epidemiological transmission models, is available in the Vaccine and Infectious Disease Institute at the Fred Hutchinson Cancer Research Center. Applicant will be joining a dynamic multi-disciplinary group to work on methods for effective model configuration and calibration using data collected by the HIV Prevention Trials Network (HPTN) as a basis for the methodological work. Among the key objectives of the modeling work are improving the understanding of disease dynamics, informing effective public health campaigns, and guiding rational development of new interventions.  The position will require a substantial amount of programming and computation, good organization and communication skills.

Qualifications

Suitable applicants should have a PhD or equivalent degree in statistics/biostatistics, applied mathematics, infectious disease epidemiology, population biology, theoretical physics, computer science or a similarly quantitative discipline. Research experience in mathematical modeling of infectious disease transmission and experience with reviewing/analyzing scientific literature is required.

  

Experience with Bayesian statistical methods of model calibration or longitudinal data analysis is a plus.

 

Full time position, salary based on NIH scale + excellent benefits.