Research Assistant in Applied AI for Evidence Synthesis

About The Role

We are seeking a talented, numerate researcher at post-Master’s level, with strong quantitative and programming skills (Python and/or R), to join the Solace-AI team (https://solaceai.org/) as a Research Assistant in Applied AI for Evidence Synthesis. The successful candidate will provide data science expertise to the project, leading quantitative analyses and evaluations, and helping to drive improvements in evidence synthesis methods used in the evidence synthesis engine: the modular, AI-driven evidence synthesis pipeline underlying Solace-AI.

Solace-AI is a Wellcome Trust-funded initiative developing cutting-edge AI technology to transform how we synthesise and deliver research evidence during climate-related health emergencies. By automating the creation of rapid, scientifically-rigorous evidence syntheses, this groundbreaking project aims to provide decision-makers with timely, locally relevant research—particularly focusing on historically underserved communities affected by extreme weather events.

You will work closely with world-leading experts in AI, public health, and climate science across Africa, Europe, and North America, understanding, using, and adapting code (Python and R) to help build and refine the evidence synthesis engine, while leading quantitative analyses and evaluations of its performance. This is not a lead-developer role: software architecture and development is led separately by the project’s software engineering team.

You will be supported to develop your research profile and track record, including working towards a PhD fellowship application during the post.

This is a full time post (35 hours per week), and you will be offered a fixed term contract until 31/5/2028.

Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the  Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the 

Centre for Research Staff Development for more information.

About Us

King’s College London is one of the world's leading universities, ranked 31st globally and 5th in the UK in the QS World University Rankings 2026. Founded in 1829, King’s is a Russell Group university with a world-renowned reputation for excellence in education, research and innovation, particularly across medicine, health and the life sciences.

This post will be based within the newly established Department of Primary Care & Data Science, an interdisciplinary department that brings together expertise in primary care, population health, health informatics, artificial intelligence, epidemiology, biostatistics and health services research. The Department aims to develop innovative data-driven approaches to improve health and healthcare, working closely with patients, communities, policy-makers, healthcare providers and international partners.

The Department sits within the  School of Life Course & Population Health Sciences is one of six Schools that make up the Faculty of Life Sciences & Medicine at King’s College London. The School unites over 500 experts in a wide range of population health sciences including women and children’s health, life course sciences, nutritional sciences, Health AI, preventive medicine and the molecular genetics of human disease. Our research links the causes of common health problems to life’s landmark stages, treating life, disease and healthcare as a continuum.

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