Post-Doctoral Research Fellow: Statistical and Computational Evaluation of Infectious Disease Vaccine Interventions

Overview:
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.

Biostatistics, Bioinformatics and Epidemiology (BBE) at Fred Hutch is recruiting for a Post-Doctoral Position for Statistical and Epidemiologic Methods for Evaluating Vaccines. The postdoc will be supervised by Professor M. Elizabeth Halloran and based at the Fred Hutchinson Research Center in Seattle, WA. The postdoc will be joining a national and international network of researchers who have worked together over many years. The Vaccine and Infectious Disease Division of Fred Hutch has a large group of faculty working on statistical and epidemiologic methods for evaluating vaccines.

Two years of funding are available, with a negotiable start date of early fall 2019.

Responsibilities:
We are seeking a postdoctoral fellow to work in developing novel statistical and epidemiologic methods for evaluating interventions in populations, in particular vaccines, in infectious diseases. Some of the research will focus on study designs for emerging infectious diseases, such as Zika, Ebola, pandemic influenza, and others. Some of the research will focus on other endemic or re-emerging infectious diseases, such as dengue, influenza, pertussis or rotavirus, but not HIV.

The postdoc may be expected to work with and develop state-of-the-art computational methods and phylogenetic technique.

Required qualifications:
The postdoc needs to have a PhD or other doctoral level degree in statistics, biostatistics, computer science, quantitative epidemiology, or some related quantitative field, granted in the past five years.
Excellent communication skills, both verbal and written, are required.

Preferred qualifications:
Experience with applications in infectious diseases is desired
Interest in learning or previous experience with phylodynamic methods is also desirable
A knowledge and experience with methods of causal inference would be helpful
A preference will be for individuals planning to develop their own independent research after the postdoc

To apply, please submit a single PDF document containing (1) cover letter including the names and contact information of three references (2) curriculum vitae (3) at least two representative papers. Link: www.fredhutch.org/job/13493