Postdoctoral Training Fellow – Machine Learning

26/05/2019, 23:55

Molecular Pathology
Computational Pathology & Integrated Genomics
Full time
Fixed Term
3 years
£31,023 - £39,473
The Institute of Cancer Research, London, is one of the world’s most influential cancer research institutes, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, laying the foundation for the now universally accepted idea that cancer is a genetic disease. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.

Under the leadership of our Chief Executive, Professor Paul Workman FRS, the ICR is ranked as the UK’s leading academic research centre. Together with our partner The Royal Marsden, we are rated in the top five cancer centres globally.

The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission – to make the discoveries that defeat cancer.

We seek a Postdoctoral Training Fellow to join the Yuan lab at The Institute of Cancer Research, London (ICR) and work on the TRACERx project in a collaboration with Prof. Charles Swanton at the Francis Crick Institute.

The main focus of the Yuan lab is to develop new computational approaches for studying cancer by fusing computer vision, machine learning and bioinformatics ( Different from traditional cancer-centric approaches, we study cancer from a novel perspective: as evolving ecosystems. Aided by technological advances, we use ecological principles to help us understand why cancer is so difficult to treat – by studying not only cancer cells but also normal cells around them. 

This is a rare opportunity to collaborate with world-leading teams on a perspective, pioneering study of lung cancers. You will lead the development of new machine learning systems for analysing digital pathological images and integrating image data with genomics. We expect this exciting project to enable the discovery of new biomarkers and clinical innovations to change the way we treat lung cancer.

You will join a team of computer scientists and bioinformaticians, working closely with clinicians in the vibrant centre of cancer research discovery and therapeutics at ICR London in the endeavour to cure cancer. You will enjoy the highly collaborative nature of this project, have the opportunities to learn about the latest biotechnologies and travel to conferences, and excel in coordinating between programming and broadening horizons in medicine.

Applicants must hold a PhD in Computer Science, Systems Biology, Ecology, Statistics or Engineering. Good programming skills, preferably in R, Matlab, Python or C, and experience in computer vision, machine learning or statistics are essential. 

To apply, please upload your CV and covering letter (including the names and contact details of two referees) online via our website at:,

To apply please include the following to your application:

  • A full CV with a publication List
  • Covering letter including the names and contact details of two referees as part of application form
  • Research plan (one to two pages outlining your current research interests and research plans for the next 3 years) 


  • To develop new machine learning system for lung cancer histology images
  • To contribute to the publication of high quality research in the form of papers, patents, and presentations at meetings.
  • To work independently on a defined project and as part of a team, and to consult when appropriate.
  • To communicate effectively with other members of the team and collaborators, where necessary, ICR and outside organisations



The appointment will be on a Fixed Term Contract for 3 years, with a starting salary in the range of £31,023* to £39,473 p.a. inclusive dependent on postdoctoral experience. It is anticipated that the starting salary will be in the range from £31,023* to £36,798 p.a. inclusive.

*thesis submitted, awaiting PhD award

The successful candidate will be based in Sutton, Surrey.


We consider all applications on merit and have a strong commitment to enhancing the diversity of our staff.
Additional Documentation for Candidates

This Program is closed to applications.