The Institute for Health Metrics and Evaluation (IHME) is an independent research center at the University of Washington. Its mission is to deliver to the world timely, relevant, and scientifically valid evidence to improve health policy and practice. IHME carries out its mission through 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. Our vision is to provide policymakers, donors, and researchers with the highest-quality quantitative evidence base so all people live long lives in full health.
IHME is committed to providing the evidence base necessary to help solve the world’s most important health problems. This requires creativity and innovation, which is cultivated by an inclusive, diverse, and equitable environment that respects and appreciates differences, embraces collaboration, and invites the voices of all IHME team members.
IHME has an excellent opportunity for a Lead Research Scientist on the Future Health Scenarios team. The Future Health Scenarios (FHS) team at IHME produces forecasts and alternative health scenarios for more than 300 causes of disease and disability, over 70 risk factors contributing to health loss, and many other determinants of health, such as fertility, education, and vaccine coverage. FHS produces results on an annual basis, following each new round of the Global Burden of Disease results, and also generates policy-relevant “what if” scenarios to help government officials and others chart the course for improving health outcomes in their communities. As a Lead Research Scientist, you will lead a research project and/or research team for a defined research area within the FHS framework, using your established project management and supervisory skills. You will provide methodological oversight and interpretation of statistical analyses of forecasting models, develop the execution of research strategy, and establish deadlines, deliverables, and resources to meet IHME’s objectives.
We are looking for someone who has experience with analysis of big data, the ability to develop methods and tools, keeping up-to-date with the latest scientific findings and engineering/technical advances, and a maturing peer-reviewed publication record. You thrive in a collaborative work environment and are capable of working on multiple projects concurrently while meeting deadlines. You enjoy mentoring and training early-career researchers as well as working with senior leadership to chart the direction of the research enterprise. You keep current on recent scientific advances and are able to translate these into your research. Overall, you will be joining and agile and collaborative team environment. This position is contingent on project funding availability.
- Lead a research project and/or research team in defining, executing, and managing analytic plans; developing execution of research strategy; establishing deadlines, deliverables, and resources; and providing methodological advice, interpretation, statistical analysis, and visualization of research area to meet IHME’s objectives. Lead external collaboration efforts and innovative technological advances, and/or oversee the research for a defined research area.
- Maintain a highly developed command of one or more of the research areas at IHME, including the methodology and its components.
- Carry out quantitative analyses and participate in reciprocal research projects. Interpret and vet results from junior staff and formulate conclusions.
- Drive new methods to analyze structured and unstructured data; introduce novel diagnostics and presentation paradigms to communicate results.
- Model causes of death, non¬fatal health outcomes, and risk factor exposures using data from a multitude of sources and applying complex algorithms and statistical applications.
- Critique results. Understand groundbreaking techniques and creatively apply them in experimental ways to explore efficiencies and potential improvements to results.
- Develop, test, and refine new statistical methods and build tools so that others can apply them. Use a variety of coding languages to do so (e.g., R, Python, Java, C, C++)
- Supervise and mentor staff, to include hiring and training; leading workflow; priority setting; reviewing work and establishing quality standards; conducting regular performance assessments, providing mentorship and professional development for employees.
- Publish peer-reviewed manuscripts and publications as first author and present results to scientific, policy, and donor audiences.
- Contribute to writing grant applications.
- Communicate methods and results to different audiences, helping them to learn and apply new skills.
- Assess skill gaps and identify training needs for team. Develop internal trainings to support professional development and succession planning for junior staff.
- Other duties as assigned that fall within reasonable scope of research team.
MD or PhD in public health, epidemiology, statistics, biostatistics, math, economics, quantitative social sciences, or related field plus six years’ related experience, or equivalent combination of education and experience
- Growing external peer network where sought out as a resource for having strong command with a given disease, risk, key indicator, relevant methodological area, and the related data sources and scientific underpinnings.
- Experience supervising individuals on scientific research processes, analysis, and professional development.
- Demonstrated project management experience including demonstrated ability to think independently, be flexible, and juggle multiple priorities required.
- Excellent analytic, critical thinking, and quantitative skills.
- 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). Python strongly preferred.
- Excellent written and oral communication skills required, including track record publishing peer-reviewed publications as first author and co-author. Intermediate level of quality, quantity, and degree of innovation in scholarly publications in multiple peer-reviewed journals.
- Ability to thrive and guide others in a dynamic, team-oriented research environment with a focus on producing innovative, policy-relevant results.
Equivalent education/experience will substitute for all minimum qualifications except when there are legal requirements, such as a license/certification/registration.
- Expertise in Bayesian statistical modeling (particularly spatiotemporal correlation structures, mixed effects models, and time series analysis), maximum likelihood estimation (theory and implementation), and working ability with scientific computing (linear algebra, iterative optimization methods).
- Proficiency with Python, xarray, and conda environment management.
Conditions of Employment: Weekend and evening work sometimes required
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.