Research Assistant/Associate

We have an exciting research opportunity for a Research Assistant / Associate to drive an interdisciplinary project on artificial intelligence (AI) for cancer, funded by Prostate Cancer UK. The project will develop novel multimodal AI models to integrate pathology, single-cell RNA sequencing, spatial proteomics, and spatial transcriptomics data to predict prostate cancer metastasis.

The successful candidate will be jointly appointed by the School of Cancer Sciences, University of Glasgow, and Cancer Research UK Scotland Institute, working with Dr Ke Yuan and Professor Hing Leung and the wider multi-disciplinary research team.

We are looking for candidates with experience/strong interests in learning some of the following: deep learning, medical imaging, and spatial omics data analysis. Candidates should be proficient in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch.

For further information, please contact Dr Ke Yuan (www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/ke-yuan.html) ke.yuan@glasgow.ac.uk and Professor Hing Leung (www.crukscotlandinstitute.ac.uk/cruk-si-research/cruk-si-research-groups/hing-leung-prostate-cancer-biology.html) Hing.Leung@glasgow.ac.uk.

For further information on the School of Cancer Services, please visit www.gla.ac.uk/schools/cancersciences

This post is full time (35 hours per week) and open ended with funding available for up to 36 months.

To apply online at: www.jobs.gla.ac.uk/job/research-assistant-slash-associate-43

Closing date: 19^th October 2025 at 23:45

We believe that we can only reach our full potential through the talents of all. Equality, diversity and inclusion are at the heart of our values. Applications are particularly welcome from across our communities and in particular people from the Black, Asian and Minority Ethnic (BAME) community, and other protected characteristics who are under-represented within the University. Read more on how the University promotes and embeds all aspects of equality and diversity within our community www.gla.ac.uk/myglasgow/humanresources/equalitydiversity.

We endorse the principles of Athena Swan www.gla.ac.uk/myglasgow/humanresources/equalitydiversity/athenaswan

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