| Location: | Birmingham |
|---|---|
| Salary: | £52,656 to £65,048 depending on ST level. Grade: Clinical |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 10th June 2026 |
|---|---|
| Closes: | 7th July 2026 |
| Job Ref: | 107561 |
Full time starting salary is normally in the range £52,656 to £65,048 depending on ST level.
Grade: Clinical
Full Time
Fixed Term Contract – 01/02/2027- 31/01/2030
Job Summary
The post holder will be contributing to the achievement of the Institute’s research strategy by undertaking specified research activities within an established research programme.
The project is entitled: “Opportunity in Brain Tumour Diagnostics, Multi-Omics and Computational Biology.” This project addresses a major unmet clinical need: brain tumours remain the leading cause of cancer-related death in children and adults under 40, with survival outcomes still poor. Median time from surgery to tissue diagnosis is 26 days (IQR 21–36; Tessa Jowell BRAIN MATRIX interim analysis 2025). This PhD aims to develop rapid and accurate diagnostic approaches using advanced genomic technologies. The project will evaluate rapid sequencing methods alongside DNA methylation-based classifiers to accelerate tissue diagnosis. By reducing the time to diagnosis and developing new efficient techniques, this work has the potential to improve patient outcomes, enable faster access to targeted therapies and clinical trials, and reduce the psychological burden associated with diagnostic delays. The successful candidate (pathology /neurosurgery ST1-3 ideally with a National Training Number) will generate and analyse a richly annotated, integrated multi-omic dataset from brain tumour samples. Working at the interface of computational biology, neuro-oncology and molecular medicine, the student will apply state-of-the-art transcriptomic, proteomic and epigenomic profiling techniques. The project will also involve developing and validating novel diagnostic classifiers and establishing a testbed for genomic testing in a clinical setting.
The pilot data generated will be used to apply for further fellowship funding eg.NIHR Academic Clinical Lecturer.
Main Responsibilities
Person Specification
Informal enquiries can be made to v.wykes@bham.ac.uk , a.beggs@bham.ac.uk and phillipe.taniere@uhb.nhs.uk
To download the full job description and details of this position and submit an electronic application online please click on the 'Apply' button above.
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working.
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