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The Maximum Impact Incubator (MII) program uses econometrics to identify programs across CHAI’s entire portfolio that generate significant health impact through highly cost-effective programming. The team’s aim is to evaluate and prioritize the most cost-effective and scalable opportunities for new programs, in line with the Effective Altruism philosophy of maximizing the benefit of available resources.
As Manager on MII, you will take ownership of some of the most technically complex modelling work in MII’s portfolio. You will play a leading role in building and stress-testing cost-effectiveness models that span multiple countries, program areas, and data environments, and where existing tools or precedents don’t map cleanly across contexts. You will set the methodological approach for ambiguous or high-stakes analyses, decide how to prioritize and sequence modelling work when resources are constrained. You will also serve as a technical resource that Managers and Analysts on the team turn to when a model needs to hold up to donor and academic scrutiny.
You will work closely with the MII, CHAI program and country teams, CHAI senior leaders and decision makers, academics, and other stakeholders, and will play a central role in translating rigorous analysis into donor-facing deliverables for leading global health funders, including concept notes, proposals, and funding recommendations. You will also contribute to strengthening MII’s modelling standards and mentoring more junior team members, while continuing to be a hands-on builder and reviewer of models yourself.
This role is open to candidates based in any CHAI program country, pending leadership approval and right work authorisation. Candidates should be able to accommodate overlapping working hours with US Eastern Time (ET) to facilitate collaboration with the MII team.
RESPONSIBILITIES
- Independently design, build, and quality-assure complex cost-effectiveness models, including multi-country and multi-domain models, to compare interventions based on impact per dollar spent
- Set the methodological approach for analyses where existing models, data, or precedents don’t translate cleanly across countries or program areas, and document assumptions clearly for reuse by others
- Ability to work with and analyse large-scale datasets (e.g., GBD, DHS, national surveys, IHME datasets, implementation cost data) to inform program design and prioritization decisions
- Support the design and implementation of new pilot programs, including study protocols, key indicators, and monitoring and evaluation frameworks
- Suggest evaluation methodology that may be applicable for each program’s needs, drawing on approaches such as randomized controlled trials, difference-in-differences, synthetic control, and other quasi-experimental designs
- Provide technical guidance, mentorship, and quality review to Managers and Analysts on the MII team, covering modelling approach, research methodology, and statistical programming
- Contribute to the continuous refinement of MII’s modelling standards and internal best practices, helping ensure consistency as the team’s portfolio grows
- Translate modelling results into clear, donor-ready deliverables such as concept notes, proposals, and funding recommendations. For example, turning a multi-country, multi-domain cost-effectiveness model into a concept note for a leading global health funder, including a clear narrative on which country-program combinations to prioritize and why
- Engage with donors, policymakers, research institutions, and global health forums to present findings, contribute to external publications, and inform funding decisions
- Collaborate with CHAI country teams and government partners to ensure feasibility and alignment of interventions within national health systems
QUALIFICATIONS
- Postgraduate degree in economics, public health economics, development economics, epidemiology, or related quantitative discipline
- 7+ years of experience applying quantitative methods to global health or development challenges, including cost-effectiveness analysis, impact evaluations, or health economics
- Demonstrated experience independently building complex cost-effectiveness models from scratch, including models that must be adapted or reconciled across different countries or program contexts
- Exceptional analytical and critical thinking skills, with proven capacity to pressure test complex theories of change
- Experience in evaluation design, 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 communication skills, including the proven ability to translate research into policy recommendations and donor-facing deliverables, 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 of 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
Advantages
- Direct 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
- Proficiency in one or more languages spoken in CHAI countries
- Experience implementing a wide variety of programs and/or working with partners (government or non-profit) in at least one CHAI program country
This role is a unique opportunity to apply advanced economic analysis and quantitative rigour 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 modelling work end-to-end, interact with policymakers and donors, and directly influence how resources are allocated to save lives at scale.
If you have a passion for evidence-driven decision-making, a strong background in quantitative methods, and an eagerness to engage with CHAI’s country programs to drive impact, we encourage you to apply.
This job is posted by Clinton Health Access Initiative.
This link brings you to the website of Clinton Health Access Initiative.
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