Research Associate

We have an exciting research opportunity for a Research Associate to join the laboratories of Professor David Chang and Dr Ke Yuan (School of Cancer Science) and use a multidisciplinary approach to study artificial intelligence and machine learning applications in the management of pancreatic cancer.

Pancreatic cancer is soon to be the second highest cancer related mortality in the western societies, and its overall survival has not changed significantly in the last few decades. While significant understanding in the molecular pathology of pancreatic cancer has been made through large scale genomic and transcriptomic sequencing projects, the full utility of molecular data, especially in a multi-omics analysis fashion has not been fully explored and capitalised with the utilisation of artificial intelligence and machine learning.

The post holder will perform research on machine learning and AI approaches to better prognosticate and better prediction of treatment response in pancreatic cancer utilising genomics, transcriptomic, digital pathology (H&E, immunohistochemistry and multiplex immunofluorescence).

This post is funded through a research grant from Astra Zeneca to study the interaction between pancreatic cancer epithelial compartment and the compositions of tumour microenvironment using multi-omics approach, including immunohistochemistry, multiplex immunofluorescence, genomics and transcriptomics.

The post is ideally suited for a motivated individual with a PhD in a relevant field, be driven by scientific curiosity, and have an excellent publication record for their career stage and scientific background. Ideally the successful candidate would have a strong track record or keen interest in artificial intelligence and machine learning, and a deep understanding of the associated experimental methodologies. Experience with genomics and digital pathology analysis would be an advantage.

Informal enquiries should be directed to Professor David Chang, David.Chang@glasgow.ac.uk or Dr. Ke Yuan Ke.Yuan@glasgow.ac.uk.

This post is full-time and has funding for up to 2 years.

To apply online at: www.jobs.gla.ac.uk/job/research-associate-28?source=gla.ac.uk

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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