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 up to 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.
Scope of Fellowship
The incumbent will use model-based geostatistics (MBG) among other innovative analytical methods and devise ways to carry them out more easily and routinely. By enhancing existing computational pipelines and writing novel computational solutions, this position helps resolve challenges to enable the timely and efficient production of high-caliber scientific and policy-relevant results. The solutions developed must allow databases and analytic engines to function seamlessly with one another. This individua must develop a command of the methods developed and the rationale for them. They are expected to create and deploy code to carry out complex statistical methods potentially utilized by all team members. This individual will be a key contributor to discussions about 1) statistical and computation methods development, 2) strategic decision-making for implementation of methods into existing computational infrastructure, and 3) ongoing improvements to the architecture of our code base. In addition, this individual will be expected to collaborate with other team members on papers, presentations, and other materials to help disseminate results. This position is contingent on project funding availability.
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.
The successful applicants will have a doctoral research degree (or foreign equivalent) in statistics, mathematics, computer science, engineering, public health, 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.
Other desired qualifications:
Demonstrated success in scientific computing using at least one of the following programming languages: R, Python, C, C++. R strongly preferred.
Excellent analytical and quantitative skills.
Ability to independently plan and execute research projects.
Excellent communication skills, including the ability to present research proposals and results and represent the research group overall.
Ability to thrive in a fast-paced, team-oriented research environment with a focus on producing innovative, policy-relevant results.
Demonstrated interest in the research described.
Experience with Linux and cluster computing environments.
Practical experience in one or more of the following: statistical inference, stochastic processes, space-time mathematical models, or infectious disease modeling.
Experience contributing to a collaborative software project and working with a version control system (git, svn, etc).
Experience with survey data and administrative data from health facilities.
Experience in handling spatial data.
Expertise in additional programming languages or mathematical software packages.
Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and two letters of recommendation.
University of Washington is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, protected veteran or disabled status, or genetic information.
Founded in 1861, the University of Washington is one of the oldest public institutions in the west coast and one of the preeminent research universities in the world. The University of Washington is a multi-campus university comprised of three different campuses: Seattle, Tacoma, and Bothell. The Seattle campus is made up of sixteen schools and colleges that serve students ranging from an undergraduate level to a doctoral level. The university is home to world-class libraries, arts, music, drama, and sports, as well as the highest quality medical care in Washington State and a world-class academic medical center. The teaching and research of the University’s many professional schools provide undergraduate and graduate students the education necessary toward achieving an excellence that will serve the state, the region, and the nation. As part of a large and diverse community, the University of Washington serves more students than any other institution in the Northwest.