Location: | London |
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Salary: | £44,355 to £51,735 per annum, including London Weighting Allowance |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 3rd June 2025 |
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Closes: | 12th June 2025 |
Job Ref: | 116645 |
Please note that although this role is advertised as Research Scientist, your contractual job title will be “Research Associate - (Medical) in Large Language Models”
About the role
We are looking for a Research Scientist (Medical) to join our team delivering the EMBRACE study, an innovative research project led by Professor Josip Car. EMBRACE is a visionary, multicomponent international research programme. The first of its kind in the world, supported by Inkfish with £35M core funds over six years. It is a global study of 60,000 participants, including 20,000 mothers, 20,000 infants and up to 20,000 partners. It brings together world-leading clinician scientists across six distinguished healthcare organisations, exceptional AI and technology companies, together with premier biotech companies, with the overarching aim to fast-track major scientific breakthroughs, revolutionise maternal and early childhood health through precision-personalised interventions, powered by a groundbreaking symbiosis of cutting-edge AI combined with human support.
The successful candidate will partake in the development of personalised, context-sensitive Large Language Models (LLMs) for health coaching. By delivering real-time, adaptive recommendations following exercise sessions and integrating multi-modal health and lifestyle data, the post-holder will play a key role in ensuring the medical validity and real-world relevance of the coaching recommendations. Collaborating closely with AI researchers, the individual will integrate medical knowledge into the LLMs, enhance their social intelligence (empathy, theory-of-mind), and evaluate multilingual and culturally sensitive deployments.
We are looking for an individual with a medical degree, a strong track record in public health and digital health research including peer-reviewed publications, an interest in LLMs as well as experience of using LLMs for healthcare research.
The post is based in the Faculty of Life Sciences and Medicine, and will be closely affiliated with the Informatics Department in the Faculty of Natural, Mathematical and Engineering Sciences.
This is a full-time post (35 hours per week), and you will be offered a fixed-term contract until 31/07/2029.
About You
To be successful in this role, we are looking for candidates to have the following skills and experience:
Essential criteria
Desirable criteria
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