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About the Role
LEEP is seeking a Research Consultant to refine and update our cost-effectiveness analysis (CEA), the public model used for evidence-based resource allocation decisions. This role involves updating the existing model and addressing high-priority research questions on lead exposure in low- and middle-income countries. The work will be published in public CEA explainers, offering an opportunity to shape the evidence base for LEEP's resource allocation.
Responsibilities
- Update the model with current internal program and cost data.
- Strengthen economic and demographic inputs, including population growth, urbanisation, beneficiary cohorts, and currency and cost-of-living adjustments.
- Produce updated CEA model components using the best available assumptions and the latest cost data.
- Run short, prioritised deep dives into a small number of high-uncertainty, high-stakes assumptions.
- Prioritise deep dives where uncertainty is high, material to the result, and plausibly resolvable through further research.
- Address high-priority research questions on estimating the burden and prevalence of lead exposure in low- and middle-income countries.
- Write a rationale for each material change, suitable for LEEP’s public CEA explainers.
- Draft content for a blog post announcing the update.
Requirements
- Experience with cost-effectiveness analysis or similar quantitative public health or economic research.
- High attention to detail, and the judgement to distinguish what matters more from what matters less.
- Comfortable working independently with limited day-to-day oversight.
- Good judgement on prioritisation, with an ability to make sensible calls on where to spend limited time across competing research threads.
Skills
- Quantitative analysis
- Cost-effectiveness analysis
- Public health research
- Economic research
- Data analysis
- Research prioritization
- Independent work
- Attention to detail
- English proficiency
Location
- Global - Remote
Work Type
- Contract / Temp
- Part time or full time
- Remote
Experience Level
- Based on experience
Education Level
- Quantitative degree (economics, public health, statistics, or a related field)
Salary/Compensations
- Based on experience and location
Benefits
- A chance to have a large positive impact on the world, and improve hundreds of thousands of lives
- Experience working with an early-stage, fast growing, high-impact and evidence-based nonprofit
- Flexible work arrangements
- Supportive, collaborative team environment
About the Company
- LEEP is an early-stage, fast growing, high-impact and evidence-based nonprofit.