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 outstanding opportunity for an Evaluation Specialist. The Evaluation Specialist helps develop and apply evaluation methods in diverse global settings to measure the impact of a variety of different programs, interventions and organizations on population health. The Evaluation Specialist will work closely with faculty, fellows, staff scientists and in-country partners to perform a variety of tasks including, but not limited to: cleaning data and assisting in preliminary analysis, assisting in designing survey questionnaires and evaluation methodologies, coding up interview guides, validating survey instruments, conducting qualitative research, checking and analyzing data, assisting in the writing of project reports, policy memos, and coordinating with key government and NGO partners.
This position provides an excellent opportunity to gain extensive hands-on experience with evaluation studies. You will be integrally involved in producing, critiquing, improving, and disseminating results. You already have a command of epidemiology, statistics, econometric methods, or related interests and we will help you develop an understanding of our core research and methodology. You are expected to interact successfully with a wide range of partners and to describe complex concepts and materials concisely. Overall, Evaluations Specialists are critical members of agile, dynamic research teams. This position is contingent on project funding availability.
- Develop a core understanding of assigned evaluation area, methodology, and its components.
- Extract data from various sources and databases. Format, transform, review and assess data sources to determine their relevance and utility for ongoing analysis. Understand key data sources and variations in these across and within countries.
- Under the guidance of experienced scientist and/or faculty, carry out quantitative analyses and statistical modeling to produce results designated on a given timeline as part of collaborative evaluation projects.
- Refine survey questionnaires and programming them field tools.
- Review, assess, and improve results and methods.
- Maintaining accurate records of interviews, safeguarding the confidentiality of subjects, as necessary
- Apply computational and statistical tools and algorithms for the preprocessing, analysis, and visualization of source data.
- Document code and analytic approaches systematically so that analyses can be replicated by other team members.
- Lead discussion in research meetings about results and analyses to vet, improve, and finalize results.
- Contribute to creation of reports/contract deliverables, data collection protocols, IRB applications, presentations, manuscripts, and funding proposals. Co-author paper(s).
- Maintain scientific awareness and intellectual agility with data, methods, and analytic techniques.
- 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 1 year related experience or equivalent combination of education and experience.
- Proven interest and some experience in a given disease, risk, key indicator, methodological area, and the related data sources and scientific underpinnings.
- Strong analytic, critical thinking, and quantitative skills
- Ability to professionally and effectively communicate and work with other staff and external partners at all levels in order to achieve team goals for the analyses and related outputs.
- 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.
- Working ability with at least one statistical programming language (e.g. R, Python, Stata, SAS, SQL).
- Excellent communication skills, both oral and written
- Ability to work both independently and in collaboration with a team
- A long-term interest in a research scientist position contributing to the overall mission of our research
- Valid passport or the ability to obtain one is required; Travel up to 10% of the time is requried.
- Spanish and English fluency preferred, both written and verbal.
- Track record of success in co-authorship on scientific papers, presenting results, and representing research at meetings
- Knowledge of machine learning, data mining, and analytic techniques
- Experience working or living abroad in developing countries