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. IHME carries out a range of projects within different research areas including: the Global Burden of Diseases, Injuries, and Risk Factors; Future Health Scenarios; Costs and Cost Effectiveness; Local Burden of Disease; Resource Tracking; and Impact Evaluations. The aim is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base to make decisions that achieve better health.
IHME has an excellent opportunity for a Senior Postdoctoral Fellow to join our team. We are looking for someone ready to advance in their career in global health research. As a Senior Postdoctoral Fellow you will be a lead on your research team by contributing to research design and training and mentoring junior staff. IHME researchers analyze and produce key estimates for their assigned research team and will assess all available relevant quantitative data – including those on causes of death, epidemiology, and a range of determinants such as education and income – from surveys, vital registration, censuses, literature, registries, and administrative records.
As a Senior Postdoctoral Fellow, you will be integrally involved in producing, critiquing, improving, and disseminating results. You are capable of keeping your team on track to meet deadlines and research objectives. You already have a publication record, and at IHME, you will build out your portfolio with several peer-reviewed papers. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You keep current of recent scientific, engineering and technical advances and are able to translate these into your research. This position is contingent on project funding availability.
The University of Washington and the International Union, Automobile, Aerospace and Agricultural Implement Workers of America, Local 4121 (UAW 4121) currently are negotiating their first collective bargaining agreement for Postdoctoral Scholars. Employees in this title are represented by UAW 4121 and will be subject to the applicable collective bargaining agreement, unless agreed exclusion criteria apply. For more information and updates on the bargaining process, please visit https://hr.uw.edu/labor/unions/uaw/postdoc-negotiation-updates.
Develop command of one or more research areas at IHME, including the methodology and its components.
Contribute to research design, including exploring varied analytic approaches and coding techniques to improve on results (e.g. machine learning, using linkage data for analysis, etc).
Independently carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff, formulate conclusions and inform team leaders.
Develop, assess quality, and distribute complex data sets to be used in epidemiological and statistical analyses.
Develop and implement diagnostics by which to assess both input data and results.
Manage and complete large-scale prospective reviews of the scientific literature.
Develop and implement new computational and statistical methods by translating complex analytic aims into efficient and effective code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results.
Communicate with external collaborators to understand the nature, key characteristics, and context of the data as well as engage in critiques of the estimation results.
Collaborate with and gather feedback on methods from senior faculty. Integrate feedback into updates to analytic approaches
Effectively communicate and work with other staff at all levels in order to achieve team goals for the analyses and related outputs.
Draft presentations, manuscripts, and contribute to funding proposals. Lead and co-author scientific articles in peer-reviewed journals.
Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
Oversee staff to include: hiring and training; leading workflow; priority setting; critiquing work and establishing quality standards; conducting regular performance assessments, providing mentorship and professional development for employees.
Provide ideas and content for the development of internal trainings. Teach established trainings.
Other duties as assigned that fall within reasonable scope of research team
Master's degree in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences or related discipline plus four years related experience or equivalent combination of education and experience.
Growing peer network where sought out as having solid command with engineering/technical areas, a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings.
Excellent analytic, critical thinking, and quantitative skills.
Results and detail-oriented individual that can initiate and complete tasks under tight deadlines and changing priorities both independently and in a team environment. Flexibility with hours and workload is key.
Experience devising and executing statistical modeling techniques.
Demonstrated ability to quickly recognize problems in results and identify root causes in data, methods, and code.
Ease in designing, executing, and troubleshooting code in one or more languages (e.g. R, Python, Stata, SAS, SQL).
Excellent written and oral communication skills required, including track record of success in co-authorship on multiple scientific papers, presenting results, and representing research at meetings.
Ability to work both independently and in collaboration with a team
A long-term interest in a Senior Postdoctoral Fellow position contributing to the overall mission of our research
MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences plus two years' experience preferred.
Experience with machine learning, data mining, and analytic techniques.
Experience mentoring and developing junior employees on soft and technical skills.
Experience with project management methods.
Peer-reviewed publication record.
Excellent attention to detail and ability to critically evaluate results
Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and one letter 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, creed, religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information, gender identity or expression, age, disability, or protected veteran status.
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.