Postdoctoral Researcher in Lupus Kidney Disease and Tissue Pathology

Location: Roosevelt Drive, Oxford, OX3 7BN 

We are seeking to appoint a Postdoctoral Researcher to be a part of a major new Wellcome funded multidisciplinary bioimaging project which includes teams from multiple departments. The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-drive image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. 

You will be of a multidisciplinary bioimaging project, 3DxN, which includes teams within the Department of Engineering (Jens Ritscher), Nuffield Department of Medicine (Katherine Bull), Nuffield Department of Surgical Sciences (Ian Mills) and the Radcliffe Department of Medicine (Dan Royston), working with co-investigators at the University of Cape Town (Bianca Davison, Brendon Price, Nicola Wearne). The aim is to develop and apply multimodal 3D imaging and analysis frameworks to quantify tissue architecture and protein expression in paraffin embedded tissue samples at scale. By integrating AI-driven image analysis with molecular and clinical data, the work seeks to identify novel disease-associated features and translate these into clinically deployable models for improved diagnosis and prognosis. 

This post will be based in the Oxford Kidney Pathology Group (Bull lab). The focus of this postdoctoral position within the project is in renal pathology, specifically in lupus kidney disease (lupus nephritis) where current diagnostic and prognostic approaches are limited and show high interobserver variability.  

It is essential that you hold a PhD/DPhil (or close to completion) in a biomedical, bioinformatic or relevant subject. You must have a strong bioinformatic, analytical and programming skills, applicable or multi-omic or spatial data. You need to have a strong interest in the research topic including renal pathology and to hold experience or understanding of the ethical and regulatory frameworks and requirements when working with human samples. The ideal candidate will have strong computational skills and some experience working with tissue omics and spatial data. It would be desirable for this to be combined with some experience of cellular and immunobiology, or renal physiology. Applicants with experience spanning both experimental (wet-lab) and computational approaches to spatial biology, transcriptomics or tissue pathology are particularly encouraged to apply. 

A keen desire to acquire new skills and a flexible approach to learning are important. It will be critical to work closely with the other 3DxN teams, with potential opportunities to utilise and develop skills in AI inference models, data integration, 3D image reconstruction or signal validation experiments. 

Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.

This position is offered full time on a fixed term contract for 24 months and is funded by Wellcome.

Only applications received before 12 midday on Wednesday, 29 July 2026 will be considered. Please quote 187017 on all correspondence.

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