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- Tasks: Lead model analyses to improve healthcare efficiency and equity through data-driven strategies.
- Company: Join a world-leading institution dedicated to advancing science for humanity.
- Benefits: Competitive salary, 41 days off, generous pension, and career support.
- Other info: Full-time role with opportunities for promotion and progression until March 2027.
- Why this job: Make a real impact on global health while collaborating with a diverse team.
- Qualifications: PhD or relevant degree in mathematical modelling, statistics, or related fields.
The predicted salary is between 43863 - 57472 £ per year.
Salary: £43,863 to £47,223 per annum (Research Assistant). £49,017 to £57,472 per annum (Research Associate).
Location: White City Campus (Hybrid)
About the role
The post is within the Thanzi La Mawa programme. The primary objective of this team is to improve population health and reduce health inequalities by helping to enhance the efficiency and equity of national health care provision through data-informed resource allocation and strategic planning and investment. The post is funded by the Wellcome Trust, and the post-holder will join a team based across Imperial College London, University College London, University of York and Kamuzu University of Health Sciences (Malawi) and the Eastern, Central and Southern Health Community (Tanzania) who are working to develop a model of health and healthcare provision.
What you would be doing
The post holder will lead the model analyses that address the three questions outlined above, including model development, coding, model calibration, numerical analysis, data visualisation, data curation and statistical analysis. The post holder will be responsible for these outcomes and may be asked to direct team members to assist them, where required. The post-holder will write papers describing their findings of the very highest standard and seek publication for them in leading scientific and medical journals, adhering to best practises for open-access publishing and reproducible research. The postholder will also present this work to governmental decision-makers (preferably, in person, travelling to east/central Africa). The post-holder will assume the responsibility of being one of the senior members of this large and multidisciplinary team, which includes 12 full-time staff, including professional software engineers, epidemiologists and statisticians. This will entail assisting others to work towards their own specific aims and mentoring and training of team members, where appropriate.
What we are looking for
- For Research Associate level: Hold a PhD in mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline.
- For Research Assistant level: Hold a bachelor’s or master’s degree in mathematical modelling, statistics, infectious disease epidemiology or related subject or a similar quantitative discipline.
- Experience in the development of mathematical simulation models (especially those used in epidemiology and public health as inputs to policy development).
- Experience with reviewing, analysing and synthesising scientific papers and reports.
- Familiarity with the fields of mathematical modelling, and/or statistics, and/or demography, and/or health economics.
- Knowledge of healthcare systems in sub–Saharan Africa.
- Knowledge of relevant research methods and statistical procedures.
*Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant.
What we can offer you
The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career: gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further Information
This role is for a full-time and fixed-term contract until 31st March 2027 (part-time arrangements can be discussed at the interview). If you require any further details about the role, please contact: Professor Timothy Hallett – timothy.hallett@imperial.ac.uk.
Closing Date: 26 March 2026
Research Assistant or Associate in Healthcare Systems Analysis and Modelling employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant or Associate in Healthcare Systems Analysis and Modelling
✨Tip Number 1
Network like a pro! Reach out to professionals in the healthcare systems analysis field on LinkedIn or at conferences. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling and statistical analysis projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to healthcare systems and modelling. We recommend doing mock interviews with friends or mentors to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Assistant or Associate in Healthcare Systems Analysis and Modelling
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in mathematical modelling and healthcare systems. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects or research!
Showcase Your Research Skills: Since this role involves writing papers and presenting findings, include examples of your previous research work. We love seeing evidence of your ability to analyse data and communicate complex ideas clearly, especially if you’ve published before!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make sure your passion for improving population health shines through!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure we receive your details directly and can consider you for this exciting opportunity.
How to prepare for a job interview at Imperial College London
✨Know Your Models Inside Out
Make sure you’re well-versed in the mathematical simulation models relevant to healthcare and epidemiology. Be prepared to discuss your previous experiences with model development, calibration, and analysis, as this will show your expertise and readiness for the role.
✨Brush Up on Data Visualisation Techniques
Since data visualisation is a key part of the job, be ready to talk about the tools and techniques you’ve used. Bring examples of your work if possible, and explain how you’ve used visualisation to communicate complex data effectively.
✨Understand the Healthcare Context
Familiarise yourself with the healthcare systems in sub-Saharan Africa, especially in relation to the project’s goals. Showing that you understand the local context and challenges will demonstrate your commitment and relevance to the role.
✨Prepare for Team Dynamics
As a senior member of a multidisciplinary team, be ready to discuss your leadership and mentoring experiences. Think of examples where you’ve guided others or collaborated across different fields, as this will highlight your ability to work effectively within a diverse team.