Senior Global Health Development Economist

Responsibilities

• Serve as a bridge between data scientists and economists to apply analytical methods effectively
• Design and implement quantitative analyses for global health challenges in low and middle income countries
• Utilize machine learning and AI approaches on real-world health datasets for data-driven insights
• Develop workflows for machine learning and predictive analytics using Python and R
• Integrate diverse data sources to generate insights on health and development challenges
• Contribute to research design and execution, employing experimental methodologies as appropriate
• Translate analytical findings into actionable recommendations for policymakers

Qualifications

• Ph.D. in Economics, Data Science, Public Policy, or related field focusing on quantitative analysis
• Minimum 3 years of quantitative research experience in policy-relevant domains
• Proficient in Python and R; familiarity with Stata is required
• Experience designing data analytics tools, including geospatial analyses
• Prior research in development or health economics is essential
• Demonstrated ability to manage complex projects with various stakeholders

Benefits

• Remote work flexibility within the U.S. (excluding territories)
• Opportunity to lead high-impact, meaningful research projects
• Collaborate with major international donors and stakeholders
• Mentorship opportunities for professional growth and skill enhancement
• Engagement in a mission-driven organization focused on global health and equity