Manager, Maximum Impact Incubator

The Clinton Health Access Initiative, Inc. (CHAI) is a global health organization committed to our mission of saving lives and reducing the burden of disease in low-and middle-income countries.

We work at the invitation of governments to support them and the private sector to create and sustain high-quality health systems.

CHAI was founded in 2002 in response to the HIV/AIDS epidemic, with the goal of dramatically reducing the price of life-saving drugs and increasing access to these medicines in the countries with the highest burden of the disease.

Over the following two decades, CHAI has expanded its focus.

Today, along with HIV, we work with our partners to prevent and treat infectious diseases such as COVID-19, malaria, tuberculosis, and hepatitis.

Our work has also expanded into cancer, diabetes, hypertension, and other non-communicable diseases, and we work to accelerate the rollout of lifesaving vaccines, reduce maternal and child mortality, combat chronic malnutrition, and increase access to assistive technology.

We are investing in horizontal approaches to strengthen health systems through programs in human resources for health, digital health, and health financing.

With each new and innovative program, our strategy is grounded in maximizing sustainable impact at scale, ensuring that governments lead the solutions, that programs are designed to scale nationally, and learnings are shared globally.

At CHAI, our people are our greatest asset, and none of this work would be possible without their talent, time, dedication, and passion for our mission and values.

We are a highly diverse team of enthusiastic individuals across 40 countries with a broad range of skill sets and life experiences.

CHAI is deeply grounded in the countries we work in, with the majority of our staff based in program countries.

Learn more about our exciting work: http://www.clintonhealthaccess.org

CHAI is an Equal Opportunity Employer, and is committed to providing an environment of fairness, and mutual respect where all applicants have access to equal employment opportunities.

CHAI values diversity and inclusion, and recognizes that our mission is best advanced by the leadership and contributions of people with diverse experience, backgrounds, and culture.

of Role

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.

Advanced economic evaluation and cost-effectiveness modelling:

• 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

Program development, technical leadership, and mentorship

• 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

Stakeholder engagement and donor deliverables

• 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
• 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

• 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.

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