Research Assistant/Postdoctoral Research Associate in Diabetes Data Science
Join a multidisciplinary team to advance diabetes research through large-scale health data analysis and clinical phenotype development.
Best for:Best for data scientists, health informaticians, or epidemiologists with experience in large-scale health data analysis and a passion for diabetes research.
Overview
This full-time fixed-term position at the University of Exeter’s Faculty of Health and Life Sciences offers either a Graduate Research Assistant or Postdoctoral Research Associate role. The successful candidate will collaborate with Dr Katie Young to analyze complex electronic health datasets (e.g., CPRD) to define diabetes phenotypes and cohorts. The work involves managing large-scale health data, developing reproducible data pipelines, and addressing clinically relevant questions in precision diabetes diagnosis, prognosis, and treatment. The role also includes statistical analysis and contributing to research communication. The position leverages the NHS Secure Data Environment network, a critical infrastructure for secure health data access.
What you'll do
- Manage, curate, and process large-scale health datasets (e.g., CPRD) to define diabetes phenotypes and cohorts.
- Develop robust and reproducible data processing pipelines using established infrastructure and tools.
- Define and validate clinical phenotypes for diabetes research, focusing on precision diagnosis, prognosis, and treatment.
- Conduct statistical analysis to interpret research findings and contribute to their communication.
- Collaborate with the NHS Secure Data Environment network to access and utilize secure health data for research.
- Present research progress and outcomes orally, in writing, and electronically.
- Prepare proposals and applications for external funding opportunities.
Requirements
Degree required: First degree (Bachelor’s) or equivalent in a relevant field (e.g., Health Informatics, Epidemiology, Computer Science, Statistics, or related discipline) for Graduate Research Assistant; PhD (or equivalent) in a relevant field for Postdoctoral Research Associate.
Language: English; proficiency required for communication and documentation.
Instruction: English
- Experience working with large-scale health datasets (e.g., CPRD, EHRs).
- Proficiency in data curation, processing, and analysis techniques.
- Strong analytical and problem-solving skills.
- Ability to develop and maintain reproducible data pipelines.
- Experience with statistical analysis methods.
- Familiarity with research methods and techniques in health informatics or epidemiology.
- No specific nationality or residency restrictions mentioned.
- No age limits or prior experience caps explicitly stated.
Funding & terms
How to apply
Deadline: 2026-10-22
Applicants must apply through the University of Exeter’s careers portal. Ensure you read the Job Description and Person Specification for full details. Submit your CV, cover letter, and any required supporting documents through the provided application link.
- CV
- Cover letter
- Job Description and Person Specification (referenced in application)
Contact
Katie Young· Supervisor
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