Postdoctoral Training Fellow - Bioinformatics

Institute of Cancer Research - Molecular Pathology

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 FMedSci, 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 four 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 highly motivated Postdoctoral Training Fellow to join the Yuan lab at The Institute of Cancer Research, London (ICR) and study breast cancer with integrative genomics. ICR were ranked first in the Times Higher Education league table of UK university research quality from the most recent Research Excellence Framework (REF 2014) for our high impact publications. We are world leaders in identifying cancer genes, discovering cancer drugs and developing precision radiotherapy. Together with our hospital partner The Royal Marsden, we are rated in the top four centres for cancer research and treatment worldwide. Our Cancer Research UK Cancer Therapeutics Unit is the largest academic cancer drug discovery and development group worldwide. We discover more new cancer drugs than any other academic centre in the world.

The main focus of the Yuan lab is to develop computational tools for identifying novel features in pathological specimens and understand cancer treatment resistance through integrating quantitative pathological features with molecular data ( Together with the world-leading teams at the ICR, we aim to study breast cancer treatment resistance with data collected from thousands of patients. This exciting project will enable the discovery of new tests predictive of cancer survival and treatment benefits to improve the care of breast cancer.

The successful candidate will lead the development of probabilistic and/or deterministic bioinformatics methodologies for integrative analysis of large data sets consisting of pathological image features and molecular data. He/she will enjoy the highly collaborative nature of this project, work closely with an excellent team of scientists in clinical science, biology and immunology. There are excellent opportunities to learn about latest technologies and travel to conference, excel in coordinating between programming and explore new research areas in medicine.

Applicants must hold a PhD in Computer Science, Systems Biology, Engineering, Ecology or Statistics. Knowledge/experience in pathological image analysis is highly desirable but not essential.

To apply, please upload your application online via our website.

Please include the following with your application:

  • A full CV with a publication List
  • Covering letter (addressing with specific examples where you meet the person specification and incl. the names and addresses of two referees)
  • Research plan (one to two pages outlining your current research interests and research plans for the next 3 years).

Positive Action Statement: We consider all applications on merit and have a strong commitment to enhancing the diversity of our staff.

Share this job
  Share by Email   Print this job   More sharing options
We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role: