Research Associate in Predictive Modelling
Develop cutting-edge predictive models for head and neck cancer as part of the NIHR-funded EVEREST-HN project.
Best for:Best for quantitative researchers with a strong background in statistics and predictive modeling seeking a health-focused academic role.
Overview
The University of Strathclyde is seeking a Research Associate in Mathematics and Statistics to work under the supervision of Professor Kim Kavanagh. The successful candidate will develop advanced prediction models for head and neck cancer as a core component of the NIHR-funded EVEREST-HN project. Responsibilities include collaborating with multidisciplinary teams, producing precise technical documentation for medical device software incorporation, and disseminating findings through peer-reviewed journals. Applicants should possess strong statistical expertise and a commitment to rigorous translational health research.
What you'll do
- Develop and evaluate predictive models for head and neck cancer outcomes.
- Collaborate closely with the broader EVEREST-HN project team and external consultants.
- Create accurate technical documentation to support software as a medical device incorporation.
- Write up research findings and publish papers in peer-reviewed academic journals.
- Present research results and represent the project at academic conferences.
Requirements
Degree required: PhD level in an appropriate discipline, or significant relevant experience alongside a relevant degree
Language: English; excellent written and verbal proficiency
Instruction: English
Publications: Dissemination via peer-reviewed journal publications expected.
- Sufficient breadth or depth of knowledge in statistics
- Experience building and evaluating predictive models
- Ability to conduct independent research work
- Effective workload planning and organizational skills
- Strong teamwork and collaborative abilities
- Excellent interpersonal and communication skills
- Candidates close to PhD completion or whose award is pending are welcome to apply and will be appointed at Research Assistant level until confirmed.
Funding & terms
How to apply
Deadline: 2026-11-09
Submit your application online through the university's vacancy portal, ensuring that all materials accurately reflect your experience and understanding.
- CV
- Cover letter
Contact
Kim Kavanagh· Professor
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