American Institutes for Research (AIR)

Senior Global Health Development Economist

Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Ph.D. in Economics, Data Science, Public Policy, Global Health, or a related field.
  • Minimum 3 years of quantitative research experience in policy domains.
  • Proficient in Python and R; familiarity with Stata.
  • Experience designing data analytics tools including geospatial and machine learning models.
  • Background in development or health economics and international development.
  • Proven project management skills with government or nonprofit sectors.

Responsibilities

  • Serve as a bridge between data scientists and economists, ensuring methodologically sound and contextually relevant analyses.
  • Design and implement quantitative analyses addressing global health issues.
  • Apply machine learning techniques to extract insights from real-world datasets.
  • Develop predictive analytics workflows using Python and R.
  • Integrate diverse data sources to provide novel insights on development challenges.
  • Contribute to applied research through experimental study designs.
  • Translate complex analysis results into actionable policy recommendations.
  • Mentor junior researchers and manage multidisciplinary project teams.

Benefits

  • Remote work flexibility within the U.S.
  • Opportunity to engage with high-impact international organizations and donors.
  • Professional growth opportunities through mentoring and project leadership.
  • Involvement in significant global health projects impacting low and middle-income countries.
Full Job Description
Join AIR as a Senior Global Health Development Economist 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

The responsibilities for the position include:
  • 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:

Education, Knowledge, and Experience
  • 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.
  • 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.

#LI-AS1 #LI-REMOTE

AIR's Total Rewards Program, is designed to reward our staff competitively and motivate them to achieve our critical mission. This position offers the anticipated annual salary as listed. Salary offers are made based on internal equity within the institution and external equity with competitive markets. Please note this is the annual salary range for candidates that are based in the United States.

Anticipated Annual Salary Range

$130,000-$160,000 USD

About American Institutes for Research (AIR)

The American Institutes for Research (AIR) is a nonprofit, nonpartisan behavioral and social science research, evaluation, assessment, and technical assistance organization based in Washington, D.C. AIR was established in 1946 as a behavioral and social science research organization. AIR's mission is to conduct and apply the best behavioral and social science research and evaluation towards improving people's lives, with a special emphasis on the disadvantaged. AIR has more than 2,000 employees and offices across the United States and abroad.
Learn more about American Institutes for Research (AIR)
Size
2,000 employees
Industry
Founded
1946

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