Research Associate, Analytics and Implementation Research
RemoteIndia or Colombia
Job Summary
Apply quantitative and geospatial methods to identify high-priority programs and geographic targeting opportunities for CHAI country teams. Develop and refine cost-effectiveness models to support evidence-based program decision-making and prepare materials for major funders. Conduct rigorous pressure-tests of program theories of change by critically reviewing literature and assessing causal pathways. Utilize large-scale datasets to inform program design, validate analytical assumptions, and ensure interventions align with national health systems. Collaborate across diverse disease and geographic programs to gather inputs and tailor methodologies to diverse contexts. This role requires a postgraduate degree in epidemiology or economics and 3+ years of experience with Stata, R, or SAS. Candidates must accommodate overlapping hours with US Eastern Time and hold appropriate work authorization for program countries.
Required Qualifications
- Postgraduate degree in epidemiology, economics, or related quantitative discipline
- 3+ years of experience applying quantitative methods to global health or development challenges, including cost-effectiveness analysis, impact evaluations, and mathematical modeling
- Exceptional analytical and critical thinking skills, with proven capacity to pressure test complex theories of change
- Excellent skills in data management and statistical analysis, including use of software such as Stata, R, or SAS
- Experience in cost-effectiveness modeling and evaluation design (including causal inference using observational data), tailoring methodologies to diverse contexts to generate actionable insights
- Experience assessing and reconciling data quality issues across large survey and administrative datasets, particularly in multi-country settings
- Strong understanding of the LMIC health systems context, including data limitations, operational constraints, and the role of government and partner ecosystems
- Strong communication skills, including the ability to present complex quantitative findings to donors, government stakeholders, and other diverse audiences
- Demonstrated fluency in using AI tools to synthesize information and produce high-quality analytical outputs, paired with the judgment to critically evaluate AI-generated work, identifying where it falls short or gets things wrong, and applying sound human reasoning to correct, refine, and strengthen the final product
- Proven ability to work independently in a fast-paced environment
- Commitment to collaborative work with a remote, geographically dispersed team across multiple time zones
- Fluency in English
- Candidates should be able to accommodate overlapping working hours with US Eastern Time (ET) to facilitate team collaboration
- This role is open to candidates based in any CHAI program country, pending leadership approval and appropriate work authorization
Desired Qualifications
- Experience using geospatial methods to support budget optimization, program targeting, or subnational prioritization analyses is an advantage
- Proficiency in one or more languages spoken in CHAI countries
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