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Responsibilities:
- Apply quantitative and geospatial methods to support country teams in identifying high-priority programs, geographic targeting, and health system efficiencies.
- Support creation of cost-effectiveness models to enable evidence-based program decision-making.
- Collaborate across CHAI's disease and geographic programs to gather inputs and validate analytical assumptions.
Qualifications:
- Postgraduate degree in epidemiology, economics, or related quantitative discipline.
- 3+ years of experience applying quantitative methods to global health challenges, including cost-effectiveness analysis.
- Excellent skills in data management and statistical analysis using Stata, R, or SAS.
About CHAI:
- Founded in 2002 to fight HIV/AIDS, now expanded to multiple diseases and health systems strengthening.
- Highly diverse team across 40 countries, deeply grounded in program countries.
- Committed to equal opportunity and inclusion.
Clinton Health Access Initiative, Inc.
CHAI is a global health organization that saves lives and reduces the burden of disease in low-and middle-income countries. They employ a diverse team of enthusiastic individuals across 40 countries.