University of Washington School of Public Health
Postdoctoral Fellow, Arbovirus Invasion - Institute for Health Metrics and Evaluation
Closing Date: open until filled
Posted: February 24, 2017
The Institute for Health Metrics and Evaluation and the Department of Global Health within the School of Medicine and the School of Public Health at the University of Washington are recruiting to fill one full-time year-long postdoctoral fellow appointment.
The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to monitor global health conditions and health systems, as well as to evaluate interventions, initiatives, and reforms. It uses cutting-edge techniques to tackle some of the most difficult and most critical questions in global health and find answers that will become the foundation for better policies and, ultimately, better health.
The successful applicants will have a doctoral research degree (or foreign equivalent) in statistics, epidemiology, mathematics, computer science, or other relevant subject. The successful applicant will have a proven record of quantitative research and analytical skills along with advanced research experience in data analysis and/or statistical methods.
- Coding experience in R required. Experience and demonstrated success in modeling in one or more programming languages (Stata, Python) is desired.
- A theoretical and practical understanding of infectious disease epidemiology.
Scope of Fellowship
The incumbent(s) will devise and apply innovative methods in hierarchical Bayesian geo-statistical modeling techniques to elucidate generalizable patterns and drivers of invasion and spread of dengue virus at fine scales. These patterns will be then used to inform an existing realistic agent based simulation model for DENV transmission. The incumbent will develop and apply simulation-based model-fitting techniques such as iterated filtering and Approximate Bayesian computation. The individual will also be responsible for contributing to papers, presentations, and other materials to help disseminate results. This position is contingent on project funding availability. Candidates possessing specific interests in hierarchical Bayesian geo-statistical modeling techniques, simulation-based model-fitting techniques (e.g., pMCMC), invasive species modeling (with particular attention to fine-scale pathogen invasion), statistical inference, stochastic processes, infectious disease, and expertise in developing models in any of these, are strongly encouraged to apply.
Postdoctoral Fellows play a critical role in ongoing research projects that apply analytical approaches and quantitative methods to impact evaluations, health economics, Global Burden of Disease, and other projects within the health metrics field. Duties of each fellow are tailored to create a research experience that builds upon the core proficiencies from their doctoral training.
Fellows work within teams to drive research forward from inception to publication while acquiring analytical skills and exploring new areas of investigation. Along with research opportunities, IHME provides training workshops to broaden fellows’ experience in effective writing for publication, grants, and statistical software programs.
The fellowship program also encourages fellows to engage in meaningful dialogue with the academic and policy communities by presenting research findings at global health conferences and participating in key meetings. This program focuses on defining research and professional development goals for future positons in academia, national health agencies, international organizations, and foundations.
Salary and benefits are commensurate with experience. This is a two-year appointment renewed annually following a performance review. Extension beyond two years dependent upon funding.
Compensation is competitive, commensurate with education and experience. In addition, we have a generous benefits package through the University of Washington summarized here.
Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and two letters of recommendation.