Life & Health Research & Development Intern (10-week paid position)

Swiss Re
London
Location: London, GB

About the Rrole

In a world of increasing volatility and uncertainty, understanding future health and mortality trends has never been more essential. Are you curious, motivated, and eager to deepen your understanding of the medical, healthcare, societal, lifestyle and technological factors shaping the long-term future of the global insurance industry?

As a Life & Health R&D Intern, you will support investigations across a wide range of topics, from health forecasting and mortality research to cancer and cardiovascular trends, metabolic health, and emerging medical developments. New topics, such as exploring artificial intelligence in transforming diagnosis, risk assessment, clinical decision-making and population health outcomes, are at the forefront of our minds.

Previous intern projects include topics such as GLP-1 anti-obesity medications, mental health mortality, multi-can cer early detection, new Alzheimer's disease medications, COVID-19 developments and many more.

This position would suit a person who is looking to bring their knowledge of life and/or data science, analysis and current trends into a fast-paced business with a real-world impact. After analysing results, you would help us to communicate this to a wide range of audiences, both internally and externally. You would be expected to work independently as you draft text for publications or presentations, alongside producing graphics/graphs/visualisations. This is a 10-week paid position, based in London, starting 22nd June 2026.

About the team

The Life Research and Forecasting team at Swiss Re is an international multidisciplinary research group across Europe and Asia, comprised of 5 post-PhD scientists (across medical and life sciences) and headed by an experienced pricing actuary.

We use our expert knowledge to consult on core trends in medicine, life sciences healthcare as they relate to mortality and morbidity insurance. We identify and analyse structured/unstructured datasets throughout the world that provide insights on health trends and developments. We establish effective partnerships and collaborations with universities, data providers and research organisations on a global basis.

About You

  • You must be in the process of completing or hold an advanced degree (PhD, MSc, MPH, medical qualification), or equivalent degree – undergraduate students are not eligible for this position.
  • Your studies will be in the life/medical sciences, biomedical research, epidemiology or medical statistics or similar. Actuarial, finance or business students are not eligible for this position.
  • You are confident communicator with excellent oral & written English & presentation skills. Substantial written communications and presentation development experience is a plus – both academic publications and/or commercial science.
  • You have already gained some experience or understanding of the medical, societal and lifestyle drivers that impact morbidity/mortality, which would be highly preferable.
  • You have excellent qualitative & quantitative analytical skills, including Excel (Python, R etc are a plus)
  • You are comfortable working in a team and independently, with experience in managing, prioritising and time management of multiple tasks.
Posted 2026-03-03

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