Academic ConnectJob details
Salary
The starting salary will be from £34,132 on Grade E, depending on qualifications and experience.
Contractual hours
36.5
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Job category/type
Research
Date posted
01/08/2025
Job reference
Q05365
Job description
Faculty of Heath and Life Sciences
The faculty seeks to appoint a Postdoctoral Research Associate to work in the Peninsula Collaboration for Health, Operational Research and Data Science (PenCHORD). This full time research post is split 0.5FTE on the UKRI Medical Research Council funded project STARS: Sharing Tools and Artefacts for Reproducible Simulations in healthcare; and 0.5FTE on the Health Service Modelling Associates (HSMA) programme.
The above full-time post is available immediately within the Department of Health and Community Sciences, University of Exeter Medical School. This is a fixed term position until March 2026.
About STARS and HSMA and the work you will be involved with
STARS is an open science project that aims to increase the quantity and quality of computer simulation models that are open for reuse by health researchers and the NHS. The post holder will conduct cutting edge research that builds on our preliminary research with open weight local large language models (e.g. Llama3, and Phi4) and commercial models (e.g. Claude 3.7 and Gemini 2.5) to develop methods for generating simulation models of healthcare pathways in Python.
The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts, clinicians and managers in data science and operational research techniques, as well as supporting them to apply these techniques in their organisations.
Students of HSMA work on an applied data science project (e.g. A&E modelling, or reducing delayed discharges from hospital). The post holder will primarily focus on research outputs from HSMA: identifying high impact projects, supporting the NHS with data science, and producing high quality academic articles for publication. The post holder will have opportunities to contribute to HSMA teaching, mentoring and content development.