Senior Global Health Development Economist

Join AIR as a Senior Global Health Development Economist/Data Scientist and use your experience and expertise to help us deliver on our mission: to generate and use rigorous evidence that contributes to a better, more equitable world for all. The Senior Global Health Economist/Data Scientist will lead complex research initiatives, design innovative analytical frameworks, guide client strategy, and contribute to AIR's thought leadership in economics and public policy.

This position will sit within AIR's International Development program, supporting a range of projects focused on data-driven decision-making, impact evaluation, predictive analytics, and health systems strengthening in low- and middle-income countries. The team works closely with major international donors, including the Gates Foundation, World Bank, U.S. Department of State, and UNICEF, to design and implement innovative analytical approaches that integrate survey, administrative, and geospatial data to inform policy and program design.

Candidates hired for the position may work remotely within the United States (U.S.) or from one of AIR's U.S. office locations. This does not include U.S. territories.

Responsibilities

• Serve as a bridge between data scientists, economists, and domain experts, translating across disciplines to ensure that analytical approaches are both methodologically rigorous and grounded in real-world development and global health challenges.
• Design and implement quantitative analyses to address global health challenges in low and middle income countries, with a focus on predictive analytics, geospatial analyses, and causal design.
• Apply machine learning and AI approaches, including predictive analytics, to real-world datasets (e.g., on AIR's malaria early warning system and other geospatial or satellite data) to generate forward-looking insights and support innovative, data-driven solutions in global health and development contexts.
• Develop and implement machine learning and predictive analytics workflows using Python (and, where appropriate, R) to analyze complex development and global health data.
• Integrate and analyze survey, administrative, and remotely sensed (e.g., satellite or geospatial) data to generate novel insights on development and global health challenges.
• Contribute to the design and execution of applied research studies, including experimental and quasi-experimental approaches where appropriate.
• Translate complex analytical results into clear, actionable recommendations for policymakers, program implementers, and funders.
• Collaborate with multidisciplinary teams, including economists, data scientists, and sector specialists, to integrate data-driven approaches into projects.
• Support business development efforts, including drafting technical approaches, shaping analytical strategies for proposals, and contributing to engagement with donors such as the Gates Foundation, World Bank, U.S. Department of State, UNICEF, and other partners.
• Engage with partners and stakeholders in Low- and Middle-Income Countries (LMICs) to ensure analyses are grounded in contextual realities and implementation constraints.
• Mentor and supervise junior researchers and data scientists, fostering professional growth and technical excellence.
• Manage multidisciplinary project teams and ensure high-quality deliverables aligned with client expectations.

Qualifications

• Ph.D. in Economics, Computer Science, Data Science, Public Policy, Global Health, or a related quantitative or social science field, with demonstrated expertise in econometrics, machine learning, computer science, applied statistics, or quantitative data science. A Master's degree in one of these fields, plus at least five years of relevant experience may be accepted in lieu of a Ph.D.
• Minimum of 3 years of experience conducting quantitative research in policy-relevant domains.
• Extensive experience with Python and R; working knowledge of Stata.
• Proven track record of designing and executing data analytics tools, such as forecasting, geospatial analyses, Large Language Model (LLM) models, etc.
• Prior research experience in areas such as development economics, health economics, global health, or international development more broadly.
• Experience managing complex projects and working with government, nonprofit, or philanthropic clients.
• Experience in business development and fundraising with nonprofit, government, or multilateral agencies in the global health space.

Skills

• Exceptional quantitative and analytical skills.
• Strong writing and communication skills, with the ability to translate technical findings for non-technical audiences.
• Excellent organizational and time management skills.
• Strong business development acumen and proposal writing experience.
• Ability to lead teams, manage multiple priorities, and meet deadlines in a fast-paced environment.
• Effective collaborator in virtual and cross-functional team settings.

Disclosures

Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position. Depending on project work, qualified candidates may need to meet certain residency requirements.

Benefits

Air's Total Rewards Program is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers an annual salary range of $130,000 — $160,000 USD , based on internal equity and external market competitiveness for U.S.-based employees.

Equal Opportunity Statement

American Institutes for Research is an equal employment opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without discrimination on the basis of any characteristic protected by applicable federal, state, or local law, including, but not limited to, actual or perceived race (including traits historically associated with race, such as hair texture, hair type, and protective hairstyles such as braid, locks, and twists), creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability, medical condition (e.g., cancer), sex, gender, gender identity or expression (including transgender status), sexual orientation, marital status, civil union status, pregnancy, childbirth or related medical conditions, genetic information, or military or veteran status. AIR adheres to strict child safeguarding principles. All selected candidates will be expected to adhere to these standards and principles and will therefore undergo reference and background checks. AIR maintains a drug-free work environment.