University of Washington School of Public Health
Data Analyst - Institute for Health Metrics and Evaluation (IHME)
Closing Date: open until filled
Posted: August 2, 2017
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; Forecasting; Costs and Cost Effectiveness; Geospatial Analysis; 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 is hiring for multiple Data Analyst positions on a number of different teams. We review and interview applicants on a rolling cycle. All applications received by June 25th will be reviewed. Interviews will be scheduled on July 11th, 12th and 13th. Placement onto a team is determined by specific needs of the team and candidates’ qualifications.
The main purpose of these positions is to provide support to key research projects through database management, data quality management, computational support to multi-disciplinary research projects, data extraction and formatting, and providing key inputs for papers and presentations. Data Analysts must develop an understanding of different research needs and analytic functions across multiple projects to best meet researcher needs. Data Analysts must be able to independently translate requests into actionable results through interactions with research databases, formulation of displays of results, and development of complex code to be applied to a variety of quantitative data.
These positions call for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages (Stata, Python, R, SQL). The individual must then quality control results to ensure that other team members have exactly what they need to incorporate the data and results into their own components of the analytic process, presentations, and papers. Overall, the Data Analyst will be a critical member of an agile, dynamic research team. This position is contingent on project funding availability.
Bachelor’s degree in social sciences, sciences, mathematics/statistics, engineering, computer science or related field plus two years’ related experience, or equivalent combination of education and experience.
- Demonstrated success in developing code in R, Python, Stata, SQL, or other coding language.
- Demonstrated facility with analytic tasks and ability to participate productively in interdisciplinary research teams.
- Strong quantitative aptitude, desire to learn new skills and information, and ability to interpret complex analytic quantitative information.
- Strong sense of focus and attention to detail.
- Interest in global health research.
- Demonstrated organizational skills, self-motivation, flexibility, strong communication skills, and the ability to thrive in a fast-paced, energetic, highly creative, entrepreneurial environment.
- Experience writing novel code to handle complex analytic tasks optimal.
- Experience with using, building, or maintaining databases of quantitative information optimal.
• Professional proficiency in a second language, Spanish or Portuguese preferred.
Conditions of employment: Evening and weekend work may be required.