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University of Oxford

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PhD in Real-World Data for Rare Paediatric Cancers: Uptake and Safety of Treatments University of Oxford in United Kingdom

Degree Level

PhD

Field of study

Pharmacology

Funding

Competition-funded PhD project. Financial support is available for travel to conferences, with limited departmental support mentioned for presenting research globally. No stipend amount or full tuition details are stated in the post.

Deadline

Dec 1, 2026

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Country

United Kingdom

University

University of Oxford

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Keywords

Pharmacology
Computer Science
Data Science
Epidemiology
Cancer Biology
Medicine
Biology
Medical Science
Pharmacy
Salud Pública
Pharmacovigilance
Pharmacoepidemiology
Statistics
Pediatrics

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About this position

PhD opportunity at the University of Oxford in real-world evidence, epidemiology, pharmacoepidemiology, pharmacovigilance, paediatrics, cancer biology, data science, medicine, and pharmacology.

This DPhil project, hosted by the Botnar Research Centre at the University of Oxford, focuses on assessing the uptake and safety of treatments for rare paediatric cancers using real-world data. The project will use the OMOP Common Data Model to support multi-centre studies of rare childhood cancers, including leukaemias, lymphomas, and solid tumours. Example datasets may include data from Great Ormond Street Hospital in London and The Hospital for Sick Children in Toronto.

Supervision is listed with Dr Edward Burn, Dr Danielle Newby, Dr Daniel Prieto-Alhambra, Dr Lydia Briggs, and Dr Lillian Sung. The project emphasizes hands-on training in real-world data analysis, medical records, genetic data, research design, protocol writing, and publishing, with embedding in the OHDSI network and access to departmental and university training.

This is a competition-funded PhD project. The post mentions financial support for conference travel, but does not specify a stipend amount or full funding package. 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.

The application window opens mid-September, and the deadline is 1 December 2026 at 12:00. Applicants are instructed to contact the relevant supervisor(s) to register interest and, if needed, the departmental Education Team at [email protected]. Applications should be made to the D.Phil in Clinical Epidemiology and Medical Statistics using course code RD_NNRA1.

Funding details

Competition-funded PhD project. Financial support is available for travel to conferences, with limited departmental support mentioned for presenting research globally. No stipend amount or full tuition details are stated in the post.

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 for a DPhil, and applicants should contact the relevant supervisors and/or the departmental Education Team for programme-specific essential requirements.

How to apply

Contact the relevant supervisor(s) to register interest and, if needed, email the departmental Education Team 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. Check the Oxford graduate admissions page for the application form and further instructions.

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