Research Associate in Multimodal Spatial Omics and AI-Driven Mechanobiology

Job description:

We are seeking a talented and motivated Research Associate to join the NEOPATH research group within the Faculty of Health, University of Sheffield. This is an exciting opportunity, funded by Fanconi Hope, to work at the intersection of spatial biology, mechanobiology and computational oncology contributing to cutting-edge research in predicting disease progression and therapeutic response in genetic cancer predisposition syndromes (i.e. Fanconi Anaemia) and associated malignancies.

A Remarkable Place To Work Led by Dr Hanya Mahmood, Professors Daniel Lambert and Ali Khurram, this multidisciplinary project focuses on modelling tumour evolution by integrating multimodal spatial omics and biophysical profiling with advanced AI-driven analysis. You will work alongside a multidisciplinary team of clinicians, molecular biologists, and pathologists to generate and analyse experimental training datasets that uncover novel biomarkers, predict treatment resistance, and inform precision medicine strategies for patients with high-risk cancer predisposition syndromes including Fanconi Anaemia.

The role requires unique competencies in  advanced wet-lab experimentation, specifically high-plex in situ profiling, bio-informatics and computational framework development. This offers a rare opportunity for an individual with a background in molecular or cell biology who is also highly skilled in 3D tumour modelling, and the application of computational bio-image analysis. You’ll be part of a dynamic, supportive, and forward-thinking research environment committed to making real clinical impact through innovation in cancer diagnostics and personalised medicine.

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