Institute of Cancer Research (ICR)

Postdoctoral Training Fellow in Tumour Heterogeneity

Institute of Cancer Research (ICR)

Sutton, London, United Kingdom

Postdoctoral Training Fellow in Tumour Heterogeneity

Closing Date 

15/12/2019, 23:55

Location Sutton
Division Molecular Pathology
Team Evolutionary Genomics & Modelling
Vacancy Type Full time
Type of Contract Fixed Term
Length of Contract 3 years
Hours per Week 35
Salary Range £32,200 – £39,350
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.
Vacancy Description 

The new Centre for Evolution and Cancer within the Institute of Cancer Research is supported by a Strategic Award from the Wellcome Trust. We focus on interrogating clonal evolution in tumours by studying the dynamics of heterogeneous cancer cell populations and their microenvironment. We make use of multi-region genomic profiling, single-cell genetics, computational histopathological analysis and mathematical modelling to reconstruct the past evolutionary history of tumours and predict their future.

Prof Andrea Sottoriva is the Deputy Director of the Centre for Evolution and Cancer and his lab ( focuses on deciphering the dynamics of cancer growth, progression and treatment resistance in each patient using a combination of cancer genomic approaches, experimental model systems and mathematical analyses, with the objective of anticipating the future course of the disease.

We tackle cancer as a complex system, using rational tissue sampling and cancer genomics as the basis for data generation. We integrate the data we generate in the lab with mathematical and computational models of tumour evolution, with the aim of formulating clinically-driven hypotheses and test predictions that will impact the way we treat cancer. 

For this position, we are seeking a highly motivated Postdoctoral Training Fellow with expertise in bioinformatics analysis of cancer genomic data. The successful candidate will be responsible for the analysis of large multi-omics datasets and their interpretation in light of tumour heterogeneity and cancer evolution. The candidate must have a solid background in bioinformatics and computational biology, experience with cancer genomic datasets, and strong technical expertise in statistical modelling of biological data. The successful candidate will work closely with a diverse team to formulate and validate hypotheses. 

Applicants should have a good first degree in computer science, physics, engineering, biological sciences, statistics or similar subject, and a PhD in computational biology or equivalent. Excellent organizational and communication skills are essential.

The position is offered on a 3 year fixed term contract. The salary for the post is £32,200 £39,350 p.a. inclusive dependent on previous experience. Progression is determined by annual performance review.

Informal enquiries can be made to Dr Andrea Sottoriva ( Please DO NOT send your application via email, formal applications must be submitted online.

To apply please complete an online application form, attaching your CV and supporting statement (addressing where you meet the person specification and incl. the names and addresses of two referees) 

If you are an EU citizen please see the below link for further information about Brexit:

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

Please apply via recruiter’s website.