Closing Date 26/05/2019
Division Molecular Pathology
Team Computational Pathology & Integrated Genomics
Vacancy Type Full time
Type of Contract Fixed Term for 3 years
Hours per Week 35
Salary Range £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.
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 (www.yuanlab.org). 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.
MAIN DUTIES AND RESPONSIBILITIES
• 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.
To apply, please upload your CV, covering letter (including the names and contact details of two referees) and research plan online via our website at: http://www.icr.ac.uk/jobsearch, vacancy 716