Advanced modelling methods to interpret image-derived, genomic and gene expression data

Prof John Le Quesne

Starting Salary from £31,604 to £41,929 (Depending on experience) plus relocation allowance where appropriate

Initial 3 year fixed term contract 


Would you like to develop your scientific career in a research institute that is founded on the quality of its people, acknowledged for its collaborative environment and designed to promote the development of the most outstanding and dedicated scientists? Many early career researchers have already made that decision and at present over 100 of them are now benefiting from our excellent training programme.

The Cancer Research UK Beatson Institute supports cutting edge research into the molecular mechanisms of cancer development and is one of the leading research institutes in Europe. The Institute provides an outstanding research environment, underpinned by state-of-the-art core services and advanced technologies, with special emphasis on imaging, metabolomics, and in vivo models.

Our innovative and ambitious research themes focus on understanding the regulation of the tumour microenvironment and cancer metabolism, in particular:

  • Intrinsic cancer cell vulnerabilities caused by cell growth
  • Interplay between the tumour microenvironment, metastasis and recurrence
  • Biology of early disease, aimed at developing a 'Precision Prevention' approach

The Le Quesne laboratory has a world-class track record in tissue-based studies of solid malignancy, and combines large tumour cohorts, classical histopathology methods, quantitative digital pathology, deep phenotyping techniques (e.g. multiplex imaging of tissue sections, machine learning methods), and molecular methods in the study of tumour biology.

We currently have a vacancy for a statistician/computer scientist who will use advanced modelling methods to interpret clinical data as well as image-derived, genomic, and gene expression data derived from primary human tumour tissue. Key projects include the development of models of how epigenetic events determine tumour cell phenotypes, modelling and predicting tumour metastasis, and developing models to infer dynamic oncogenic processes based on single-cell quantitative data derived from multiplex-stained images of tissue sections.

Applicants must have a PhD in a relevant field, be driven by scientific curiosity and have an excellent publication record in cancer biology, with demonstrable ability in classical statistical methods as well as advanced data modelling. Experience of artificial intelligence methods would be an advantage.

To find out more about this unique opportunity to establish advanced skills and expertise in the exciting field of colorectal cancer biology, please contact Prof John Le Quesne at for more details.

At the Cancer Research UK Beatson Institute, we are committed to increasing the number of female scientists at this level and strongly encourage female applicants to apply. We have recently introduced a highly attractive, innovative maternity policy, which includes providing a postdoc with support and funding so that their projects can continue during their maternity leave.

Closing date for applications: 30th August 2020




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