University of Oxford
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6 days ago
PhD in Agentic AI for Analytical Code Development and Regulatory Real-World Evidence Generation University of Oxford in United Kingdom
Degree Level
PhD
Field of study
Computer Science
Funding
Competition funded PhD project. The post notes limited financial support from the department for conference attendance; no stipend amount is stated.
Deadline
Dec 1, 2026
Country
United Kingdom
University
University of Oxford

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About this position
PhD opportunity at the University of Oxford in Agentic AI for Analytical Code Development to Support Regulatory Real-World Evidence Generation (Botnar-2026-04).
This DPhil in Clinical Epidemiology and Medical Statistics is a 3.5-year project based at the Botnar Research Centre, University of Oxford, focused on using agentic artificial intelligence and large language models to translate study protocols into reproducible analytical code for real-world evidence studies. The project sits at the intersection of computer science, data science, epidemiology, medical statistics, and public health, with strong emphasis on regulatory-grade reproducibility, transparency, and analytical validity.
Research tasks include benchmarking AI-generated analyses against code written by experienced RWE researchers, testing performance across different study designs and datasets, and evaluating correctness, reproducibility, protocol adherence, and efficiency. The project aims to identify which parts of RWE planning and analysis can be safely automated and where human oversight remains essential.
Supervision is by Prof. Daniel Prieto-Alhambra, Dr. Martí Català Sabaté, and Dr. Xintong Li at the University of Oxford. Training includes epidemiology, biostatistics, common data models, causal inference, and real-world evidence methods, plus seminars, lab meetings, and opportunities to present at conferences and collaborate with academic, regulatory, and industry partners.
Eligibility: applicants should have or expect a first or upper second-class BSc degree or equivalent in a relevant subject, and must provide evidence of English language competence where applicable.
Funding: this is a competition funded PhD project. Limited departmental support is available for conference travel; no stipend amount is stated.
Application: contact the supervisors to express interest, then apply through Oxford graduate admissions for the D.Phil. in Clinical Epidemiology and Medical Statistics (course code RD_NNRA1). Applications open mid-September and the deadline is 1 December at 12:00.
Funding details
Competition funded PhD project. The post notes limited financial support from the department for conference attendance; no stipend amount is stated.
What's required
Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject. Evidence of English language competence is required where applicable. Interest in clinical epidemiology, medical statistics, data analysis, and real-world evidence methods is relevant.
How to apply
Contact the relevant supervisor(s) to register interest and, if needed, email the departmental Education Team for guidance on requirements and the official application process. Submit an application to the D.Phil. in Clinical Epidemiology and Medical Statistics using course code RD_NNRA1 via Oxford graduate admissions. Applications open mid-September and the deadline is 1 December at 12:00.
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