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.
Technical Advisor, Analytics and Implementation Research
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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 • Build cost-effectiveness models for evidence-based program decision-making • Manage analytical workstreams end-to-end and determine appropriate methodologies and analytical depth • Use large-scale datasets, including GBD, DHS, national surveys, IHME datasets, and implementation cost data, to inform program design and prioritization • Collaborate with disease and geographic programs to gather inputs and validate analytical assumptions • Support the design and implementation of new pilot programs • Pressure-test theories of change through evidence review, assumption interrogation, and causal pathway and counterfactual assessment • Translate modelling and analytical work into presentations, memos, and briefing materials for senior leadership and philanthropic funders • Prepare evidence-based materials for funder prioritization and funding conversations • Collaborate with country teams and government partners to ensure interventions are feasible and aligned with national health systems
🎯 Requirements
• Postgraduate degree in epidemiology, economics, or related quantitative discipline • 7+ years of experience applying quantitative methods to global health or development challenges • Experience with cost-effectiveness analysis, impact evaluations, and mathematical modeling • Exceptional analytical and critical thinking skills • Data management and statistical analysis skills using Stata, R, or SAS • Experience in cost-effectiveness modeling and evaluation design, including causal inference using observational data • Experience assessing and reconciling data quality across large survey and administrative datasets 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 translate research into policy recommendations • Ability to present complex quantitative findings to donors, government stakeholders, and diverse audiences • Demonstrated fluency in AI tools for information synthesis and analytical outputs, with ability to critically evaluate and refine AI-generated work • Ability to independently shape ambiguous concepts into clear visions and deliver donor-ready and senior-leadership-ready products • Commitment to collaborating with a remote, geographically dispersed team across multiple time zones • Fluency in English • Direct donor collaboration experience, concept note or proposal drafting, analytical quality-checking, mentoring, or geospatial methods experience are preferred or advantageous
🏖️ Benefits
• Equal Opportunity Employer committed to fairness and mutual respect • Diverse and inclusive work environment • Remote work arrangement • Opportunity to work across diverse global health programs • Opportunity to interact with policymakers and donors • Opportunity to directly influence resource allocation and high-impact health interventions
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