Postdoctoral Research Assistant in Chronic Pain Epidemiology
Lead a study validating a neuropathic pain identification algorithm using linked healthcare data at the University of Dundee.
Best for:Best for epidemiologists or health data scientists with experience in large-scale healthcare data analysis and statistical programming.
Overview
The University of Dundee is seeking a dedicated Postdoctoral Research Assistant to join the Chronic Pain Research Group at Ninewells Hospital and Medical School. This role focuses on the CONNECT study, where the successful candidate will lead the validation of the C-PICTURE algorithm for identifying neuropathic pain. The work involves analyzing large-scale linked healthcare datasets to generate evidence on prescribing practices and patient outcomes. You will collaborate with a multidisciplinary team of clinicians, researchers, and patient partners to influence clinical guidelines and healthcare planning. The position is ideal for a researcher passionate about health informatics and improving the management of chronic pain.
What you'll do
- Conduct epidemiological and statistical analyses of linked questionnaire and healthcare data to validate the C-PICTURE algorithm.
- Manage the day-to-day delivery of the CONNECT study, including data governance and secure data access.
- Coordinate project activities and ensure adherence to research timelines.
- Investigate prescribing patterns, treatment concordance, and adverse health outcomes using large-scale datasets.
- Collaborate with clinicians, researchers, patient partners, and data specialists to ensure scientific quality.
- Disseminate research findings through peer-reviewed publications, conference presentations, and stakeholder engagement.
Requirements
Degree required: PhD in epidemiology, biostatistics, public health, health data science, medicine, pharmacy or a related discipline.
Language: English
Instruction: English
- Proficiency in analyzing complex datasets using R, Stata, SAS, or Python.
- Strong knowledge of epidemiological methods and healthcare data analysis.
- Excellent scientific writing and communication skills.
- Proven ability to work both independently and collaboratively within a multidisciplinary team.
- Strong organizational skills for project management.
Funding & terms
How to apply
Deadline: 2026-10-14
Interested candidates should submit their application through the provided external portal link. Ensure all required documentation is prepared according to the university's application guidelines.
- CV
- Cover letter
Contact
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