Data Analyst (Temporary)

Job Description IHME has an outstanding opportunity for a Data Analyst to join the Simulation Science team. About this Opportunity Reporting to the Project Officer for the Simulation Science team, the Data Analyst is responsible for turning complex health data into actionable insights. This position supports key research projects by managing and shaping large datasets, ensuring data quality, providing computational support, extracting and formatting data, and providing key inputs for publications for multidisciplinary research projects. To succeed, Data Analysts must develop a strong understanding of diverse research priorities and analytic approaches across multiple projects, enabling them to adapt solutions that meet each project’s unique needs. They independently translate requests into actionable results, working with research databases, creating clear visualizations, and writing complex code to analyze quantitative data, so that findings can drive meaningful decisions. Success in this role requires agility with complex databases and fluency in Python (pandas, NumPy). Beyond technical expertise, you’ll ensure accuracy through rigorous quality checks and collaborate closely with other analysts to solve problems and share knowledge. As part of IHME’s commitment to innovation, you’ll also use emerging technologies to improve and enhance the research and our overall impact. 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. This position currently has funding through June 30, 2027. Key Responsibilities Research command 15% Become familiar with substantive areas of expertise to understand the dimensions and uses of health data and the analytic underpinnings of different research streams Work directly with researchers to identify the source of data used in models and results, understand the context of the data, and ensure that they are relev