Research Fellow

About the Role

The role is currently offered until 31 October 2027, but may be extended, subject to agreement by the funder.

The post holder will join the Tissue Image Analytics (TIA) Centre in the Department of Computer Science under the supervision of Dr Shan Raza and play a key role in the NexGenDx (Next Generation Diagnosis in Haem oncology) project, a Cancer Research UK (CRUK)Funded translational research programme aimed at transforming the diagnosis of haematological malignancies through multiomic multiplex imaging (MPI) and computational pathology. The NexGenDx project is led by Dr Matthew Pugh at the University of Birmingham, alongside academic and industry partners including the University of Warwick. The project focuses on developing and clinically validating a next generation diagnostic workflow based on high plex immunofluorescence and RNA in situ hybridisation data generated using the Lunaphore/BioTechne COMET platform. This platform enables dozens of antibodies and gene probe markers to be measured simultaneously on a single formalin fixed paraffin embedded (FFPE) tissue section, producing high dimensional image data that requires advanced computational analysis for effective interpretation.

The role will contribute to the development of a Python‑based analytical pipeline and an interactive, web‑enabled user interface to support quantitative and AI‑assisted assessment of COMET‑derived MPI data. The role will involve working with large and complex imaging datasets, implementing and integrating computational pathology algorithms, and translating analytical outputs into intuitive, clinician‑facing visualisations to support diagnostic decision‑making.

For details on the experience and skills required, please refer to the job description (link here).

About You

The post holder will work closely with Dr Shan Raza and a team of researchers at the VISION Lab, TIA Centre based at Warwick, clinical haematopathologists at the University of Birmingham, and wider project collaborators, ensuring that the software tools developed are robust, interpretable, and aligned with real-world clinical workflows. Development will leverage and extend established opensource infrastructure, particularly TIA Toolbox, alongside custom Python development and modern web technologies for data exploration and interactive visualisation.

About the Department

The Computer Science Department at Warwick is a leading department in the UK. In the 2018 Research Evaluation Framework (REF) which all UK universities participated in, Warwick computer science was ranked 4th in the country. It is also highly regarded for its research culture, informal environment, excellent students, and beautiful campus.

Our Biomedical Data Analytics theme spans a wide range of research topics in computational modelling for neuroscience, systems and synthetic biology, and developing the next-generation of AI based technologies for the analysis of multimodal biomedical data.

Biomedical Data Analytics

The interviews will be held on: To Be Confirmed

We will review applications throughout the advertising period and may contact shortlisted candidates before the closing date. We therefore encourage interested applicants to submit their application as early as possible. We reserve the right to close this vacancy early should we receive a sufficient number of suitable applications.

Full details of the duties and selection criteria for this role can be found in the vacancy advert on the University of Warwick's jobs pages. You will be routed to this when you click on the 'Apply' button.

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