The Resource Tracking Development Assistance for Health (DAH) research team develops research intended to estimate global health financing from 1990 to 2050. The team looks at how DAH is disbursed or received by population, disability-adjusted life years, gross domestic product, and government health spending. The team also looks at all-cause spending for every country from 1995-2050 and HIV/AIDS spending for low- and middle-income countries. Research from this team has been published in a wide set of journals, presented around the globe, and offered online through an interactive visualization. Annually, this team produces the Financing Global Health report. The team’s Data Analyst will work closely with the faculty lead, other data professionals, researchers, and Post-Bachelor Fellows.
The main purpose of the Data Analyst position is to provide support to key research projects through database management, data quality management, computational support to multidisciplinary 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 research 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.
This position calls for dexterity working with complex databases and the ability to assess, transform, and utilize quantitative data using multiple coding languages (R or Python). 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. Additionally, this position will work alongside other Data Analysts on complementary projects and will require knowledge and skill sharing and collective problem solving. Overall, the Data Analyst will be a critical member of an agile, dynamic team. IHME is a grant funded organization and this position is contingent on project funding availability.
To apply for this job please visit uwhires.admin.washington.edu.