AI-Driven Evidence Synthesis Scientist (Postdoc)

King's College London; Greater London; On-site; GBP 45,000 - 53,000; Full time

Benefits offered by this job

Professional development entitlement

Job summary

King’s College London invites applications for a post-doctoral health data scientist to design, build, and evaluate AI-enabled evidence synthesis tools within the METIUS work package. The role involves onboarding partner organisations, developing production-quality code, and contributing to methodological research.

You will work with software developers, data scientists, and evidence synthesis specialists across the METIUS and Solace-AI projects, and contribute to evaluating tool performance and

Qualifications

• PhD or equivalent research experience in health data science.
• Strong Python programming for scientific computing.
• Experience with evidence synthesis methods.
• Ability to design and evaluate AI-enabled tools.

Responsibilities

• Design, build, and adapt AI-enabled evidence synthesis tools.
• Collaborate with King’s College London, UCL and METIUS partners to onboard tools.
• Conduct methodological and evaluation studies of AI-assisted evidence synthesis methods.
• Write production-quality, well-documented code and publish findings.

Skills

Python

Evidence synthesis

Health data science

AI-enabled tools

Education

PhD in a relevant field

Tools

Git

Jupyter

Docker

Job description

King’s College London invites applications for a post-doctoral health data scientist to design, build, and evaluate AI-enabled evidence synthesis tools within the METIUS work package. The role involves onboarding partner organisations, developing production-quality code, and contributing to methodological research.

You will work with software developers, data scientists, and evidence synthesis specialists across the METIUS and Solace-AI projects, and contribute to evaluating tool performance and