Research Associate in AI and Evidence Synthesis

Overview

King's College London is offering a full-time, fixed-term position as a Research Associate in AI and Evidence Synthesis within the Primary Care & Data Science department. This role contributes to the METIUS AI work package, which is an £11.5m UKRI-funded programme co-led by King’s and UCL, as well as the related Solace-AI project. The position is based on site in the United Kingdom for a duration of two years.

Who can apply

Candidates should be post-doctoral health data scientists possessing a combination of applied health research expertise and Python scientific coding skills. The role requires professionals capable of working collaboratively in a team alongside data scientists, software developers, and evidence synthesis specialists.

What you get

The salary for this position ranges from £45,031 to £52,514 per annum, which is inclusive of the London Weighting Allowance. Research staff at the institution are also entitled to a minimum of 10 days per year on a pro-rata basis dedicated to professional development.

Requirements

The appointee will be responsible for designing, building, configuring, and adapting AI-enabled evidence synthesis tools and pipelines while writing well-documented, production-quality code. Responsibilities include assisting METIUS consortium partner organizations with onboarding and utilizing these tools, as well as designing and executing methodological and evaluation studies to assess the reliability, performance, and usability of AI-assisted methods for publication. Additionally, the role involves developing new methods to ensure AI systems remain trustworthy and applying these techniques to climate-health emergencies.

Key dates

The closing date for applications is 2026-11-06. The contract is offered for a fixed term of two years starting from the successful candidate's start date.