Human Resources

Postdoctoral Research Assistant - QMUL11819

Department: Centre for Tumour Biology, Barts Cancer Institute
Salary: £32,405 - £38,062 (Grade 4)
Reference: QMUL11819
Date posted: 15-Jun-2017
Closing date: 02-Jul-2017

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Barts Cancer Institute

Centre for Tumour Biology

Postdoctoral Research Assistant IN BIOINFORMATICS

Applications are sought for a Postdoctoral Research Assistant in bioinformatics to join Prof. Trevor Graham’s Evolution and Cancer laboratory at the Barts Cancer Institute Barts Cancer Institute, within the Barts and The London School of Medicine and Dentistry, Queen Mary University of London. The successful applicant will work on the clonal evolution of human colorectal cancer in collaboration with the group of Andrea Sottoriva at the Institute of Cancer (ICR) Research, London.

The interdisciplinary Graham lab brings together skills in mathematical modeling, bioinformatics, and genomic and histological analysis of primary tumour samples in order to understand the evolution of human malignancy. Through understanding how tumours evolve, the lab aims to be able to prevent, prognose and treat cancers.

The Sottoriva and Graham labs have established a unique collaboration to decipher the mechanisms of colorectal cancer growth, progression and dissemination in each individual patient, with the objective of anticipating the future course of the disease. We will sample and analyse the genomic, epigenomic and transcriptomic profile human colorectal malignancies from a large and clinically annotated cohort. We will analyse the data with state of the art bioinformatics techniques and novel statistical methods. Finally, we will integrate the results with mathematical and computational models of colorectal cancer growth and progression, with the aim of making predictions on the evolution of each tumour.

The successful candidate will focus on understanding the heterogeneity of colorectal cancer and precursor lesions at the genomic, epigenomic and transcriptomic levels, and will also be involved in the analysis of publically available datasets. The candidate will be responsible for generating and/or analysing the data and interpreting the results in light of tumour evolution, with the aim of understanding fundamental underlying dynamics of tumour growth and progression. In particular, the responsibilities include the generating and/or analysis of whole-genome, whole-exome, ChIP-seq and RNAseq data, and other more targeted assays, and interpretation of the results.

Essential requirements for this post include a PhD and undergraduate degree in relevant biological or quantitative subjects, significant research experience in experience in genomics, cancer biology, evolutionary biology, bioinformatics and/or mathematical/computational modelling and an appropriate publication record. Experience in the field of cancer evolution would be an advantage. A demonstrated ability to communicate well, work within a highly interdisciplinary team and maintain good laboratory records are also essential.

The post is a full time fixed term position for three years in the first instance. Starting salary will be in the range (£32,405 - £38,062) per annum inclusive of London Allowance with yearly increments. Benefits include 30 days annual leave, plus 4 College closure days, flexible working hours, childcare vouchers scheme, defined benefit pension scheme and an interest free season ticket loan.

The Barts Cancer Institute requires that applicants invited for interview will need to provide all certificates to confirm their qualifications (specified in the Job Descriptions).

Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006.

Informal enquiries about this post, including arrangements to visit the Institute/Centre, can be made to Prof. Trevor Graham, Tel: +44 207 882 6231 or email

Application enquiries can be directed to

Details about Barts Cancer Institute can be found at

To apply, please click the 'Apply Online' button below.  

The closing date is 02 July 2017 and interview for the role is likely to be held approximately two weeks after the closing date.

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