Research Fellow in Health Policy Mathematical Modelling

Job number

BUS00826

Faculties

Business School

Departments

Business School

Salary or Salary range

£55,144 - £65,073 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

7 Dec 2025

About the role

Build the Next Generation of Health Policy Simulation Models

Do you want your research to influence how governments design policies to prevent chronic disease? Are you excited by the challenge of combining data, simulation, and policy to tackle the world's biggest health problems?

The Centre for Health Economics & Policy Innovation (CHEPI) at Imperial Business School is seeking a Research Fellow in Health Policy Mathematical Modelling to take a leading role in advancing Health-GPS — our state-of-the-art microsimulation model for non-communicable disease (NCD) policy analysis.

Why This Role Matters

Chronic diseases such as diabetes and cardiovascular disease remain leading causes of illness and premature death worldwide. Yet, the tools available to evaluate and design effective prevention policies are still evolving. Health-GPS provides a framework to explore how changes in diet, physical activity, and related risk factors affect long-term population health and economic outcomes.

Health-GPS represents the gradual accumulation and interaction of individual-level risk factors — such as BMI, diet, and income — offering insights into the potential impact of different policy interventions over time.

You will lead the evolution of this model as part of major international projects including:

• GOLDFINCH – estimating the effects of fiscal policies on ultra-processed food consumption.
• JA Prevent NCD – a European Joint Action on integrated strategies for NCD prevention.
• JACARDI – a European initiative to reduce cardiovascular and diabetes risk.

Working with economists, epidemiologists, and data scientists, you'll push the boundaries of policy simulation and shape real-world decision-making.

What you would be doing

• Lead the development, optimisation, and maintenance of Health-GPS, ensuring its continued scientific and policy relevance.
• Coordinate modelling activities across multiple projects and deliver high-quality outputs on time.
• Integrate new methodologies, including AI and machine-learning approaches, into simulation design.
• Conduct quantitative analyses to estimate the health and economic impact of proposed policies.
• Identify and manage relevant datasets in collaboration with internal and external partners.
• Communicate findings through academic papers, policy briefs, and stakeholder workshops.
• Contribute to funding proposals and the expansion of CHEPI's modelling activities.

What we are looking for

We're seeking a creative and technically strong individual with:

• A PhD (or equivalent) in health economics, epidemiology, computer science, or a related field.
• Experience building or using microsimulation models or other quantitative policy tools.
• Strong programming skills (C++, R, Python, or similar).
• Experience working with large or longitudinal datasets.
• The ability to translate complex model outputs into actionable policy insights.
• Curiosity, independence, and enthusiasm for multidisciplinary collaboration.

Experience applying AI or ML methods to health or policy modelling is highly desirable.

What we can offer you

• The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
• Benefit from a sector-leading salary and remuneration package (including 41 days' annual leave and generous pension schemes).
• Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
• Interest-free season ticket loan schemes for travel.
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

Interested? Apply online with:

• A cover letter explaining your motivation and relevant experience.
• Your CV.
• Contact details for two referees.

Further information

This is a full-time, fixed-term for 24 months (with the possibility to extend), based at our South Kensington campus (hybrid). Start date: as soon as possible.

For questions about the role, contact Prof. Franco Sassi ).

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don't hesitate to email us at We're here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you'll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.

Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

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