Technical AdvisorCHAI is seeking a highly motivated individual with public health experience and analytical skills to work with CHAI's program and country teams and government counterparts to conduct epidemiological analysis, model program impact and cost-effectiveness, monitor and evaluate the success of ongoing efforts, and translate results for decision-makers. The Technical Advisor will work across CHAI's program portfolio, building, pressure-testing, and communicating analytical evidence to support strategic decisions. They will be responsible for developing and refining cost-effectiveness analyses for candidate programs across CHAI's portfolio; conducting rigorous pressure-tests of program theories of change by critically reviewing literature; and applying quantitative methods to help CHAI country teams identify priority programs, efficiencies, and geographic targeting opportunities. The Technical Advisor will also prepare clear, concise analytical outputs and presentations for CHAI senior leadership and major philanthropic funders, translating complex modelling work into strategic insights that can shape funding conversations. This role is a unique opportunity to apply advanced epidemiological and quantitative analytics to high-impact health interventions in some of the world's most challenging contexts. You will have the chance to work across CHAI's diverse health programs, own technically complex analytical work end-to-end, interact with policymakers and donors, and directly influence how resources are allocated to save lives at scale. This role is open to candidates based in any CHAI program country, pending leadership approval and appropriate work authorization, and requires up to 15% travel. Candidates should be able to accommodate overlapping working hours with US Eastern Time (ET) to facilitate team collaboration.
Responsibilities:- Analytics and modelling
- Apply quantitative and geospatial methods to support CHAI country teams in identifying high-priority programs, geographic targeting opportunities, and health system efficiencies
- Build cost-effectiveness models to enable evidence-based program decision-making to achieve maximal impact
- Manage analytical workstreams end-to-end, exercising independent judgment on methodological approach and appropriate level of analytical depth given the question and available data
- Appropriately utilize large-scale datasets (e.g., GBD, DHS, national surveys, IHME datasets, implementation cost data) to inform program design and prioritization decisions
- Collaborate across CHAI's disease and geographic programs to gather inputs, validate analytical assumptions, and ensure models reflect on-the-ground program realities
- Evidence-based program development and technical leadership
- Leading a portfolio of work, including setting the long-term strategy, identifying medium-term priorities and defining a workplan
- Support the design and implementation of new pilot programs, leveraging existing evidence and data to ensure interventions are both impactful and cost-effective
- Conduct rigorous pressure-tests of program theories of change, including critical review of evidence, interrogation of key assumptions, and assessment of causal pathways and counterfactual scenarios
- Stakeholder engagement and donor deliverables
- Translate complex modelling and analytical work into clear, concise outputs — including presentations, memos, and briefing materials — for CHAI senior leadership and major philanthropic funders
- Support CHAI's engagement with major funders by preparing evidence-based materials that inform prioritization decisions and funding conversations
- Collaborate with CHAI country teams and government partners to ensure feasibility and alignment of interventions within national health systems
Qualifications:- Education and experience
- Postgraduate degree in epidemiology, economics, or related quantitative discipline 7+ years of experience applying quantitative methods to global health or development challenges, including cost-effectiveness analysis, impact evaluations, and mathematical modeling
- TechnicalExceptional 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 SASExperience 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
OperationalStrong communication skills, including the proven ability to translate research into policy recommendations, and 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 on an ambiguous, early-stage concept, shaping it into a clear vision, aligning a team around that direction, and driving the work through to a donor-ready and senior-leadership-ready final product
Commitment to collaborative work with a remote, geographically dispersed team across multiple time zones
Fluency in English
PreferredDirect experience collaborating with donors in the global health and development space, including drafting concept notes or proposals
Experience reviewing or quality-checking the analytical work of others, and/or mentoring or informally leading junior analytical staff
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
