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Research Associate, Analytics and Implementation Research

🕒 August 12

🇸🇳 Senegal – Remote

⏰ Full Time

🟡 Mid-level

🔬 Research Analyst

Where this job comes from

Posted on Clinton Health Access Initiative, Inc.'s careers page, not through a job board

First seen by Remote Rocketship August 12

Still open on Clinton Health Access Initiative, Inc.'s site. Checked 6 hours ago.

Logo of Clinton Health Access Initiative, Inc.

Clinton Health Access Initiative, Inc.

1001 - 5000 employees

Founded 2002

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Clinton Health Access Initiative, Inc. (CHAI) is a nonprofit global health organization committed to building a world where everyone has access to healthcare. Founded in 2002, CHAI focuses on tackling major health issues like infectious diseases, maternal and child health, and non-communicable diseases through various programs in over 35 countries. By partnering with governments and organizations, CHAI aims to reduce the cost of healthcare, enhance health policies, and improve health systems, ultimately saving lives and fostering a healthier future.

📋 Description

• Apply quantitative and geospatial methods to identify high-priority programs, geographic targeting opportunities, and health system efficiencies • Support creation of cost-effectiveness models for evidence-based program decision-making • Use large-scale datasets, including GBD, DHS, national surveys, IHME datasets, and implementation cost data, to inform program design and prioritization • Collaborate across disease and geographic programs to gather inputs, validate analytical assumptions, and ensure models reflect program realities • Prepare evidence-based materials for major funders to inform prioritization decisions and funding conversations • Support design and implementation of new pilot programs using evidence and data • Pressure-test program theories of change through evidence review, assumption interrogation, causal pathway analysis, and counterfactual assessment • Collaborate with country teams and government partners to ensure intervention feasibility and alignment with national health systems

🎯 Requirements

• 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 data management and statistical analysis skills, including Stata, R, or SAS • Experience in cost-effectiveness modeling and evaluation design, including causal inference using observational data • Experience assessing and reconciling data quality issues across large survey and administrative datasets, particularly in multi-country settings • Strong understanding of LMIC health systems, data limitations, operational constraints, and government and partner ecosystems • Strong communication skills and ability to present complex quantitative findings to donors, government stakeholders, and diverse audiences • Demonstrated fluency in using AI tools to synthesize information and produce high-quality analytical outputs, with ability to critically evaluate and improve AI-generated work • 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 • Experience using geospatial methods for budget optimization, program targeting, or subnational prioritization analyses is an advantage • Proficiency in one or more languages spoken in CHAI countries is preferred

🏖️ Benefits

• Equal employment opportunity and commitment to fairness, mutual respect, diversity, and inclusion • Up to 15% travel opportunity/requirement • Opportunity to work across diverse global health programs and contribute to high-impact interventions • Collaboration with a remote, geographically dispersed team across multiple time zones

Apply Now

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