In this role, you will apply advanced quantitative methods and behavioral science to understand the human drivers behind global health outcomes. You will work with complex, real-world datasets to generate insights that inform how healthcare is delivered and improved in low- and middle-income countries. The role combines rigorous analytical research with the ability to translate findings into clear, decision-relevant insights for global health stakeholders. Key Responsibilities Design and execute advanced statistical analyses to uncover behavioral and systemic drivers within global health datasets. Apply quantitative methods, including statistical modeling and machine learning approaches, to generate robust and actionable insights. Work with large, real-world datasets and contribute to the development and management of analytical workflows and data pipelines. Collaborate closely with Product, AI, and research teams to translate analytical findings into scalable data-driven tools and sol...