University of Washington-Seattle Campus: School of Medicine: Global Health
Assistant Professor, Global Health
Location: Seattle, WA
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 several (up to two) full-time and/or part-time faculty positions at the Assistant Professor without tenure level. The primary school of the appointment will be determined by qualifications. IHME is a leader in quantifying health for global policy.
Incumbents would be responsible for guiding and executing the intellectual content required to derive burden of disease estimates for a subset of 315 diseases and injuries, and 79 risk factors. This task will include modeling of causes of death, non-fatal health outcomes, and risk factor exposures using data from a multitude of sources and applying complex algorithms in novel statistical applications developed at IHME. The incumbents should be able to both generate the results and critique them in light of trends in the available data and epidemiological and clinical assumptions where appropriate, determine whether adjustments to models or model assumptions should be made, and finalize results in consultation with other faculty. Assistant Professors will be expected to present the results both internally and externally and to contribute to appropriate peer reviewed journal articles and policy reports pertaining to them.
Faculty members will also take on an important leadership role in mentoring pre-doctoral and post-doctoral fellows working in the field of health metrics. University of Washington faculty engage in teaching, research, and service. Salary and benefits are commensurate with experience and level of appointment.
This search is open until filled.
The successful applicants will have an MD or PhD in epidemiology, population health, biostatistics, health informatics, health economics, health policy, or foreign equivalent in a related field. The successful applicant will have a proven record of quantitative research in a health-related field including statistical modeling using multiple and large data sets.
Applicants should submit a curriculum vitae, a brief statement outlining research interests and five letters of recommendation.