Department of Health Metrics Sciences



  • Senior Fellow (Postdoctoral Fellow) - Height/Weight

    March 13, 2019

    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 Postdoctoral Fellow position. Postdoctoral Fellows in the Department of Health Metrics Sciences have an annual service period of 12 months and the position is renewable.

    About IHME

    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 Postdoctoral Fellow to join our team. We are looking for someone ready to advance in their career in global health research. As a Postdoctoral Fellow you will be a lead on your research team by contributing to research design and training and mentoring junior staff. Postdoctoral fellows 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.

    You will be integrally involved in producing, critiquing, improving, and disseminating results. You are someone that is 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.


    • Exhibit command of risk factor estimation at IHME, including the methodology and its components.
    • 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, quality check, and distribute complex data sets to be used in epidemiological and statistical analyses.
    • Develop and implement new computational and statistical methods. Create, test, and use relevant computer code (R, Python, or equivalent). Maintain, modify, and execute analytic machinery that results.
    • 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.
    • Contribute to research design.
    • Other duties as assigned that fall within reasonable scope of research team.



    • PhD, MD or foreign equivalent in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, plus demonstrated expertise preferred.
    • 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.
    • Record of 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).
    • 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


    • Demonstrated expertise with machine learning, data mining, and analytic techniques.
    • Record of mentoring and developing junior employees on soft and technical skills.
    • Demonstrated expertise with project management methods.
    • Peer-reviewed publication record.

    Application Instructions

    Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and one letter of recommendation.

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    Equal Employment Opportunity Statement

    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.

    Commitment to Diversity

    The University of Washington is committed to building diversity among its faculty, librarian, staff, and student communities, and articulates that commitment in the UW Diversity Blueprint ( Additionally, the University’s Faculty Code recognizes faculty efforts in research, teaching and/or service that address diversity and equal opportunity as important contributions to a faculty member’s academic profile and responsibilities (

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  • King 5 Interview: Professor Emmanuela Gakidou presents findings that no level of alcohol is safe

    February 13, 2019

    Despite previous claims that alcohol in moderation can provide health benefits, a recent study by the Global Burden of Disease finds that alcohol consumption provides no net life expectancy benefits, and is responsible for over 3 million deaths worldwide every year. Professor Emmanuela Gakidou of the Department of Health Metrics Sciences appeared on King 5 on January 9th to discuss this study and its implications on alcohol consumption.

    See article here

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  • Measuring human capital: a systematic analysis of 195 countries and territories, 1990–2016

    October 2, 2018

    Human capital is recognized as the level of education and health in a population and is considered an important determinant of economic growth. The World Bank has called for measurement and annual reporting of human capital to track and motivate investments in health and education and enhance productivity. We aim to provide a new comprehensive measure of human capital across countries globally.

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  • New scientific study: no safe level of alcohol

    August 27, 2018

    A new scientific study concludes there is no safe level of drinking alcohol. The study, published today in the international medical journal The Lancet, shows that in 2016, nearly 3 million deaths globally were attributed to alcohol use, including 12 percent of deaths in males between the ages of 15 and 49.

    See Full News Release

    See Full Article

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  • Géographie et santé publique, une alliance vitale - Le Monde

    August 27, 2018

    The Local Burden of Disease project was recently featured in Le Monde. Journalist Paul Benkimoun met with the LBD team to understand how merging geospatial analysis and health data can improve public health policies.

    Link to Full Article

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