Responsibilities
- Use quantitative and geospatial techniques to assist CHAI country teams in pinpointing high-priority programs, geographic targeting opportunities, and health system efficiencies.
- Help develop cost-effectiveness models that facilitate evidence-based program decisions for maximum impact.
- Effectively employ large-scale datasets such as GBD, DHS, national surveys, IHME datasets, and implementation cost data to guide program design and prioritization.
- Work with CHAI's disease and geographic programs to collect inputs, verify analytical assumptions, and ensure models reflect real-world program conditions.
- Assist CHAI's interactions with major funders by creating evidence-based materials that shape prioritization and funding discussions.
- Support the design and rollout of new pilot programs, using existing evidence and data to ensure interventions are impactful and cost-effective.
- Thoroughly test program theories of change by critically reviewing evidence, questioning key assumptions, and evaluating causal pathways and counterfactual scenarios.
- Collaborate with CHAI country teams and government partners to ensure interventions are feasible and aligned with national health systems.
Work Arrangement
Remote (Worldwide) — any CHAI program country
Other
- Up to 15% travel
- Candidates should be able to accommodate overlapping working hours with US Eastern Time (ET) to facilitate team collaboration
