• [Photo] Stuart McDonald May 18, 2017

    BACKGROUND

    Applications are sought for an exceptional Postdoctoral Research Assistant to undertake bioinformatical investigations into the evolution of Barrett's oesopahagus to cancer as a means to predict cancer risk. They will work under the supervision of Dr Stuart McDonald, the Principal Investigator (PI) of the Clonal Dynamics in Epithelia laboratory, and in collaboration with Prof Trevor Graham (Clonal evolution in Cancer laboratory) in order to realise the objectives of a Cancer Research UK funded programme grant predicting risk of cancer development in patients with Barrett's oesophagus. This is a multidisciplinary group that includes wet lab scientists, bioinformaticians and clinicians.

    Barrett's oesophagus is the only known precursor of oesophageal adenocarcinoma (OAC) in the UK. OAC has a poor survival rate and Barrett's is common but progression to cancer is rare (0.3% of patients). All Barrett's patients undergo regular endoscopic surveillance for signs of cancer, which is both invasive and expensive, but there are no prognostic biomarkers available to predict cancer risk. We believe that this is because we do not understand the evolutionary pathways of Barrett's to cancer. We are seeking an experienced post doctoral scientist to investigate how Barrett's glands evolve by generating and developing a predictive model of cancer risk using next generation sequencing data in combination with histological phenotyping. Experience in bioinformatics and modeling biological processes is desirable. The successful candidate will be expected to help drive the direction of the project and develop novel analytical approaches to answer the research question.

    The research will be based in the Centre for Tumour Biology, Barts Cancer Institute, within the Barts and The London School of Medicine and Dentistry, Queen Mary University of London.

    REQUIREMENTS

    Essential requirements for this post include a PhD in a relevant bioinformatics, mathematics or biological subject (with a strong bioinformatical component) and an undergraduate degree in a relevant subject. Research experience in bioinformatics or genetic analysis or modelling is desirable. A demonstrable interest in the evolution of cancer would be an advantage. Furthermore, an appropriate publication record is essential. The applicant will have the ability to communicate well, work within a team and maintain good laboratory records.

    TERMS

    The post is full time, fixed term position for 3 years (with a further 3 years upon successful programme renewal). Starting salary will be in the range £32,405 - £42,431 per annum inclusive of London Allowance depending on experience. Benefits include 30 days annual leave, a defined benefit pension scheme and an interest free season ticket loan.

    HOW TO APPLY

    To apply, and for full job details, please visit the Human Resources website on http://www.hr.qmul.ac.uk/vacancies and search for reference QMUL9555.

    The Barts Cancer Institute requires applicants to provide all certificates at interview to confirm their qualifications (specified in the job description). Please be aware there are specific job descriptions for each post.

    Candidates must be able to demonstrate their eligibility to work in the UK in accordance with the Immigration, Asylum and Nationality Act 2006. Where required this may include entry clearance or continued leave to remain under the Points Based Immigration Scheme.

    Informal enquiries about this post, including arrangements to visit the Institute/Centre are encouraged and can be made to Dr Stuart McDonald Tel: +44 207 882 3800 or email s.a.mcdonald[at]qmul.ac.uk

    Details about Barts Cancer Institute can be found at http://www.bci.qmul.ac.uk

    DEADLINE

    The closing date is the 26th May 2017 and the interviews are likely to be held shortly afterwards. It is expected the position will commence as soon as possible.

    POLICY

    Valuing Diversity & Committed to Equality

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