Research Associate (856539)
Overview
The University of Strathclyde is offering a full-time, fixed-term Research Associate position within the Department of Mathematics and Statistics. Working under the general guidance of Professor Kim Kavanagh, the successful candidate will develop prediction models for head and neck cancer as part of the National Institute for Health and Care Research funded project known as EVEREST-HN. The role involves collaborating closely with the broader project team to create accurate documentation guided by external consultants, which is necessary for incorporating the predictive model into software as a medical device. Additional responsibilities include writing up research for publication in peer-reviewed journals and potentially presenting findings at conferences.
Who can apply
Candidates must be educated to a minimum of PhD level in an appropriate discipline, or possess significant relevant experience alongside a relevant degree. Individuals who are close to PhD completion or whose award is pending are also welcome to apply; appointments for such candidates will be made at the Research Assistant level on a grade six salary until the doctoral award is confirmed, after which duties and grades will be adjusted accordingly. Applicants may use artificial intelligence tools to support their application materials, provided the submissions accurately reflect their personal experience and understanding.
What you get
The position provides a salary ranging from 37,694 to 46,049 British pounds per annum. The work arrangement for this role is on-site in the United Kingdom.
Requirements
Applicants must possess sufficient breadth or depth of knowledge in statistics, as well as in building and evaluating predictive models. The role requires a developing ability to conduct individual research, disseminate results, plan and organize one's own workload effectively, and operate within a team environment. Candidates need excellent interpersonal and communication skills, including the ability to listen, engage, persuade, and present complex information accessibly to diverse audiences.
Key dates
The closing date for applications is November 9, 2026. Initial interviews have been scheduled to take place on Wednesday, November 18, 2026.