The Institute for Health Metrics and Evaluation and the Department of Health Metrics Sciences within the School of Medicine 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 public health, epidemiology, statistics, biostatistics, 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.
- Disease and/or risk-specific expertise, including familiarity with data sources and epidemiology.
- Demonstrated interest in the research described.
- Experience of and demonstrated success in modeling using at least one of the following programming languages: R, C++.
- Excellent analytical and quantitative skills.
- Ability to undertake research projects with limited guidance.
- Excellent communication skills, including track record of success in writing for publication, presenting research proposals and results, and representing research groups at meetings.
- Ability to thrive in a fast-paced, team-oriented research environment with a focus on producing innovative, policy-relevant results.
- A theoretical and practical understanding of disease modeling.
Scope of Fellowship
IHME currently hosts the Malaria Modeling Consortium (MMC) Secretariat, which coordinates research activities by independent modeling groups. The individual will be integrally involved in producing, critiquing, improving, and disseminating results of the MMC. The incumbent must develop an understanding of modeling methodology and must already have a strong command of either epidemiology, statistics, disease modeling, or related interests. The individual will work with senior research leads and take part in the intellectual exchange about how to improve upon the results and in creating papers and presentations that help share the results with broader audiences. This position is contingent on project funding availability. Candidates possessing specific interest in malaria 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 one-year appointment renewed annually following a performance review.
Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and two letters of recommendation. Click the following link to apply: