
Position Details
Department of Cancer and Genomic Sciences, School of Medical Sciences, College of Medicine and Health
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822
Grade: 7
Full Time, Fixed Term contract up to September 2027
Closing date: 4th August 2026
Background
We are seeking a highly motivated and talented individual to work as a Research Fellow in the Cancer Research UK RadNet Birmingham Centre of Excellence, directed by Professor Jason Parsons. You will contribute to cutting-edge research investigating the biology of FLASH radiotherapy. This work will be delivered using our unique, and national, radiation resources for proton and high-LET radiation. RadNet Birmingham is a multidisciplinary partnership across the Department of Cancer and Genomic Sciences and the School of Physics and Astronomy.
Specifically, the project will use in vitro (2D cell lines, 3D spheroids and patient-derived organoids) and replacement in vivo (chick embryo) models of radioresistant tumours to characterise the molecular and cellular impact of ultra-high dose rate (FLASH) delivery of both protons and photons on normal versus tumour tissues, particularly in the context of DNA damage repair and survival pathways. This will also involve determining the critical proteins and pathways that mediate normal tissue sparing in comparison to conventional dose rate delivery. Research will utilise a FLASH photon system recently awarded through an MRC equipment grant, and FLASH protons delivered through the MC-40 cyclotron.
Our long term goal is to contribute to improvements in cancer patient outcome and reduced treatment toxicities following radiotherapy.
Main Duties
The responsibilities include:-
Person Specification
Essential criteria
Desirable criteria
Informal enquiries to Jason Parsons, email: j.parsons.3@bham.ac.uk
View our staff values and behaviours here
Use of AI in applications: We want to understand your genuine interest in the role and for the written elements of your application to accurately reflect your own communication style. Applications that rely too heavily on AI tools can appear generic and lack the detail we need to assess your skills and experience. Such applications will unlikely be progressed to interview.
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