Research Assistant in Applied AI for Evidence Synthesis

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.

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.

We are interdisciplinary by nature and this innovative approach works: 91 per cent of our research submitted to the Subjects Allied to Medicine (Pharmacy, Nutritional Sciences and Women's Health cluster) for REF was rated as world-leading or internationally excellent. We use this expertise to teach the next generation of health professionals and research scientists. Based across King’s Denmark Hill, Guy’s, St Thomas’ and Waterloo campuses, our academic programme of teaching, research and clinical practice is embedded across seven Departments.

To be successful in this role, we are looking for candidates to have the following skills and experience:

Essential criteria

Desirable criteria

Downloading a copy of our Job Description

Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process.

At King’s, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.

The Equality Act of 2010 protects the rights of our students and staff and provides a framework to fulfil our duties to eliminate unlawful discrimination, harassment and victimisation and in addition, to advance equality of opportunity and foster good relations between those who share a protected characteristic and those who do not. At times, this will include balancing rights and beliefs that can feel in tension.

We are committed to free speech and to academic freedom, believing that our foundational purpose as a university, is to create spaces where a wide range of ideas, including ideas that are controversial, can be discussed and debated, and where members of our community can express lawful views without fear of intimidation, harassment or discrimination.

When engaging in the robust exchange of ideas, we ask that our community is mindful of our Dignity at King’s guidance.

We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the person specification section of the job description. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible.

Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research the role or structure written responses. However, applications must reflect the applicant’s own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found here.

We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.

We encourage you to apply at the earliest opportunity to avoid disappointment as once we have closed a vacancy you will be unable to submit your application.

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