Publisher
source

University of Oxford

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PhD in Development and Validation of External Control Arm Methodology Using Clinical Trial and Real-World Data University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Competition funded PhD project (students worldwide). Limited financial support is available from the department for external conferences. The post is described as a funded PhD project, but no stipend amount is stated.

Deadline

Dec 1, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Computer Science
Epidemiology
Biostatistics
Biology
Medical Statistics
Medical Science
Causal Inference
Salud Pública
Real-world Data
Statistics
Electronic Health Record

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About this position

PhD opportunity at the University of Oxford in Development and Validation of External Control Arm Methodology Using Clinical Trial and Real-World Data (Botnar-2026-03).

This DPhil in Clinical Epidemiology and Medical Statistics focuses on developing and validating external control arms (ECAs) using routinely collected real-world healthcare data and electronic health records. The project will compare ECA-derived treatment effects with completed randomized controlled trials, assess the value of linking trial participants to EHR data, and extend methods to longitudinal treatment pathways such as discontinuation, switching, and non-adherence.

Research methods and training include epidemiology, biostatistics, causal inference, marginal structural models, G-computation, G-estimation, common data models, and real-world evidence methods. The project sits within the Botnar Research Centre and the Health Data Sciences Section at Oxford, with collaboration opportunities across academic, regulatory, and industry partners.

Funding: Competition funded PhD project for students worldwide. Limited departmental support is available for conference travel; no stipend amount is stated in the post.

Eligibility: Applicants should have, or expect to obtain, a first or upper second-class BSc degree or equivalent in a relevant subject, and must provide evidence of English language competence where applicable.

How to apply: Contact the relevant supervisor(s) to express interest, and email the departmental Education Team if needed at [email protected]. Submit an official application to the D.Phil in Clinical Epidemiology and Medical Statistics (course code RD_NNRA1) through Oxford graduate admissions. Applications open mid-September and the deadline is 1 December at 12:00.

Funding details

Competition funded PhD project (students worldwide). Limited financial support is available from the department for external conferences. The post is described as a funded PhD project, but 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. The project is suitable for candidates interested in epidemiology, biostatistics, causal inference, real-world evidence, and data analysis.

How to apply

Contact the relevant supervisor(s) to register your interest and, if required, the departmental Education Team at [email protected] for guidance on essential requirements and the official application process. Apply to the D.Phil in Clinical Epidemiology and Medical Statistics using course code RD_NNRA1 via the Oxford graduate admissions route. Applications open mid-September and the deadline is 1 December at 12:00.

More information can be found here

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