Post-Doctoral Fellow in Statistical Bioinformatics Molecular Genetics

03/09/2019, 23:55

Genetics and Epidemiology
Molecular & Population Genetics
Full time
Fixed Term
3 years
£32,200 - £37,850
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 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.

The laboratory of Professor Richard Houlston FRS is currently recruiting a Postdoctoral Training Fellows to work in cancer genomics. We are looking for highly motivated researchers with an interest in human cancer and in the generation of large-scale omics data and gene-editing screens.

We wish to appoint an individual with experience of molecular genetics, relevant to disease gene characterisation. We undertake a broad range of genetic experiments including high-throughput sequencing, epigenetic profiling and Hi-C analyses, MPRA and CRISPR. 

The successful candidate will join the team working on the identification and characterisation of cancer genes. We primarily work on colorectal cancer but also have on-going projects on other tumours. 

We implement multiple different molecular strategies to translate genetics to tumour biology including high-throughput sequencing, epigenetic profiling and Hi-C analyses, MPRA and CRISPR. There is strong bioinformatics/statistical support within the group.

The post holder would be expected to bring genetic research experience to development of experimental design and implementation of projects. 

Applicants should have a good first degree in statistics, computer science, mathematics or similar and a PhD in statistics, computer science, mathematics, bioinformatics or similar. Experience in developing statistical models for data analysis is highly desirable. Excellent organisation and communication skills are essential.

This 3-year post is  based in Sutton, Surrey.

Please see the job description for more details of this role.

Informal enquiries about on-going projects can be made to Richard Houlston via e-mail:
Please Note - this email address is for enquiries only. Applications must be made through the on-line e-recruitment system.

To apply, click on the link below.


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