Research Associate or Fellow in Computational Health Policy Modelling
Develop and apply advanced microsimulation models to evaluate non-communicable disease policies at Imperial College London.
Best for:Best for quantitative researchers with strong programming and microsimulation experience interested in health policy and public health analytics.
Overview
The Centre for Health Economics & Policy Innovation (CHEPI) at Imperial Business School is seeking a Research Associate or Research Fellow to advance the Health-GPS microsimulation model for non-communicable disease policy analysis. The successful candidate will contribute to code architecture, quantitative impact analyses, and international collaborative initiatives such as GOLDFINCH, JA Prevent NCD, and JACARDI. The role involves working closely with multidisciplinary researchers to simulate the long-term health and economic effects of public health interventions. Applicants are expected to drive high-impact academic publications, policy briefs, and stakeholder engagement.
What you'll do
- Contribute to the architecture, development, optimisation, and maintenance of the Health-GPS C++ codebase.
- Plan and deliver computational modelling deliverables across international research projects including GOLDFINCH and JA Prevent NCD.
- Integrate advanced methodologies, such as machine learning and artificial intelligence approaches, into simulation designs.
- Conduct quantitative analyses to evaluate the health and economic consequences of dietary and lifestyle policy interventions.
- Manage and curate large or longitudinal datasets in cooperation with internal and external partners.
- Disseminate findings through peer-reviewed academic papers, policy briefs, and stakeholder workshops.
- Assist in drafting grant applications and contributing to the expansion of CHEPI research activities.
Requirements
Degree required: PhD (or equivalent, or near completion) in health economics, epidemiology, computer science, or a related field
Language: English
Instruction: English
Publications: For Research Fellow appointment: strong publication record and experience contributing to funding proposals.
- Experience building or using microsimulation models or quantitative policy evaluation tools
- Proficiency in at least one programming language such as Python, R, or C++
- Experience using version control systems like Git for collaborative codebases
- Demonstrated ability to handle and analyse large or longitudinal datasets
- Strong capacity to translate complex model outputs into actionable policy recommendations
Funding & terms
How to apply
Deadline: 2026-11-22
Interested applicants should review the job specification and submit their application through the online portal. The application must include a comprehensive curriculum vitae, a cover letter outlining motivation and specifying the desired appointment level (Research Associate or Research Fellow), and contact details for two referees.
- CV
- Cover letter
- 2 reference contacts
Contact
Franco Sassi· Professor
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