The Institute for Health Metrics and Evaluation (IHME) and the Department of Health Metrics Sciences within the School of Medicine at the University of Washington are recruiting to fill one full-time Senior Fellow position. Postdoctoral Fellows in the Department of Health Metrics Sciences have an annual service period of 12 months and the position is renewable. The anticipated start date is 7/1/2019.
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 (GBD), 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 Future Health Scenarios team. We are looking for someone ready to advance in their career in global health research. The Future Health Scenarios team forecasts GBD inputs and results (burden of more than 350 diseases and injuries and more than 80 risk factors for all GBD geographic locations) to provide policymakers, donors, researchers and the general public with the highest-quality future estimates to make decisions that improve health. As a Postdoctoral Fellow, you will be a lead on the Future Health Scenarios 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, publishing a minimum of 2 papers per year.
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.
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-negotiationupdates.
- Be a key member of the forecasting team with responsibilities that include working closely with the faculty team lead on overseeing the research and applications, identify research and funding opportunities, improve and expand the existing forecasting framework, lead or take part in writing, statistical analysis, of research papers based on the forecasting results, and help maintaining the team’s ability to critically vet the large and detailed forecasting interim and final results.
- Produce results for the future health scenarios team and exhibit command of the methodology used in forecasting risk factor exposure, disease burden and population demographics.
- Lead and co-author scientific articles in peer-reviewed journals.
- Develop and implement new computational and statistical methods, with a strong focus on time series analysis.
- 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.
- Create, test, and use relevant computer code (R, Python, SQL or equivalent). Maintain, modify, and execute analytic machinery that results.
- Draft presentations, manuscripts, and contribute to funding proposals.
- 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.
Conditions of Employment: Weekend and evening work sometimes required.
Application Instructions: Applicants should submit a curriculum vitae, a brief statement (500-word limit) outlining research interests and one letter of recommendation.