Postdoctoral researcher

BEACON-HD is an international, Horizon Europe-funded research project testing two promising strategies - telemedicine with self-monitoring and community-based medication delivery - to strengthen primary health care systems and improve the management of hypertension and type 2 diabetes in rural Rwanda and Uganda. As a postdoctoral researcher, you will play a leading role in the economic and equity analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists.

Join us to help generate the evidence needed to make chronic disease care more effective, efficient and fair in low-resource settings., Are you interested in leading applied research within a large-scale field experiment aimed at improving the management of chronic disease in low-resource settings? Do you want to help make healthcare delivery more effective, efficient and equitable for people living with hypertension and diabetes in Sub-Saharan Africa?

We offer a post-Doc opportunity for 36 months (90% research, 10% teaching) within BEACON-HD, a large EU Horizon Europe-funded international consortium project. BEACON-HD is testing two promising implementation strategies, telemedicine with self-monitoring and community-based medication delivery, through a large-scale field experiment in rural Rwanda and Uganda. The project combines this field experiment with qualitative, behavioral and economic research to understand not only whether these strategies work, but how, for whom, and at what cost.

As a postdoctoral researcher, you will take a leading role in the economic and equity work package, working closely with the project's PI and the wider consortium.

• Contributing to and helping coordinate the BEACON-HD field experiment, from the design of data collection instruments to implementation, analysis and interpretation of results, in close collaboration with consortium partners across Europe, Rwanda and Uganda.
• Leading the collection, quality assurance and analysis of data on costs, resource use and outcomes together with our in-country partners, including field visits to Rwanda and/or Uganda.
• Building and extending a decision-analytic (Markov) model to estimate the cost-effectiveness of telemedicine with self-monitoring and community medication delivery, relative to standard care, from the perspective of the public health systems in both countries.
• Leading a budget-impact analysis assessing the short- and medium-term financial implications of scaling up these strategies.
• Leading an equity-modelling study evaluating how the implementation strategies affect health outcomes across socioeconomic subgroups, and their potential to contribute to universal health coverage.
• Co-authoring peer-reviewed publications and presenting findings at international conferences.
• Contributing to the day-to-day coordination of the work package

This postdoc position combines field-based data collection and analysis with decision-analytic modelling and applied econometric work. It offers the opportunity to generate new methodological and empirical insights into the evaluation of health-system-strengthening strategies, helping to guide fairer and more efficient healthcare policy in low- and middle-income countries.

• A completed PhD (or a PhD close to completion) in health economics, development economics, economics, econometrics, or a closely related discipline.
• Strong analytical and quantitative skills, with knowledge of economic evaluation methods such as decision-analytic or cost-effectiveness modelling.
• Proficiency in statistical programming (e.g., Stata, R).
• Excellent written and spoken English, with the ability to communicate complex ideas clearly.
• Ability to work independently on a research agenda while collaborating within a large, multidisciplinary, international consortium.
• Willingness to travel to Rwanda and Uganda for fieldwork and consortium meetings.

• Demonstrated experience conducting research in development economics or health economics.
• Hands-on experience designing and/or implementing fieldwork or field experiments, ideally in low- and middle-income country settings.
• Familiarity with Markov modelling, budget-impact analysis, or equity-weighted economic evaluation.
• Prior research experience in Sub-Saharan Africa or other global health / global development contexts.
• Experience working with trial or field-experiment data.
• Interest in contributing to broader…