Research Fellow – Artificial Intelligence for Cancer Research

University College London
UCL Genetics Institute; Department of Genetics, Evolution and Environment
United Kingdom - London
secrierlab.github.io/

Description

We are seeking an enthusiastic, ambitious and creative postdoc to join the Secrier lab (secrierlab.github.io/) at the UCL Genetics Institute on a UKRI-funded post, to lead the development of AI methodology for the detection of tumour dormancy and similar cellular states in digital pathology images of cancer tissue.

The post holder will be expected to develop various deep learning, machine learning, graph-based and data integration approaches on multi-omics and histopathology image datasets to uncover the spatial context of tumour dormancy and relate it to treatment outcome. Rich genomics, spatial transcriptomics and imaging datasets are available in oesophageal cancer from collaborators at the Universities of Cambridge and Southampton for this purpose. The post holder will also be expected to collaborate with our wet lab partners for the purpose of validation of the findings.

Funding for this post is available for 3 years subject to satisfactory performance.


Qualifications

Applicants must have a PhD in a relevant subject area, e.g. computer science, physics, bioinformatics, computational biology, statistics, mathematics or similar subject; extensive programming expertise and previous experience with machine learning or deep learning methods. Previous experience with NGS data and/or cancer is welcome but not mandatory.


Start date

As soon as possible

How to Apply

For a full job description and to apply online for this vacancy please click here:
tinyurl.com/yxcrgyr5

Informal enquiries should be directed to Maria Secrier on m.secrier@ucl.ac.uk

Closing date for applications: 27th December 2020


Contact

Maria Secrier
m.secrier@ucl.ac.uk

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