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Senior Data Scientist/Bioinformatician - QMUL15054

Department: Barts Cancer Institute
Salary: £45,577 - £50,881 per annum dependent on experience and inclusive of London Allowance (Grade 6)
Reference: QMUL15054
Date posted: 18-May-2018
Closing date: 15-Jun-2018

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Overview:

Applications are sought for a senior Data Scientist/Bioinformatician to join an international translational research programme in skin ageing using an integrated Omics-Environment-Lifestyle approach. The post will be based in the Bioinformatics Unit, Centre of Molecular Oncology, Barts Cancer Institute, within the Barts and The London School of Medicine and Dentistry, Queen Mary University of London. This project is in close collaboration with Chanel Beauty, Research and Innovation in France and the University of Kyoto in Japan.

The successful applicant for this post will analyse a unique cohort with over 20 years follow-up to translate data into actionable knowledge about skin aging. The successful candidate will build a health informatics/bioinformatics platform to enable -omics data analysis and integration with clinical attributes, behavioural medicine and epidemiology data. The proposed health informatics/bioinformatics platform could be the basis of a future model for community-based health promotion and monitoring.

Essential requirements for this post include a MSc and PhD degree in Computer Science/Data Science/Computational Biology/Bioinformatics or a relevant discipline, and substantial experience in relational database design and implementation. The successful applicant also needs to be proficient in -omics data analysis (at least three years’ experience in GWAS and/or NGS) as well as web application development. Experience of data management within a health environment and knowledge on contemporary data science technologies are desirable. Knowledge of French and Japanese languages will be an advantage. Programmatically this post requires expertise in relational database management systems including MySQL, scripting language including Perl, Python and R, and database-oriented web application development technologies. Experience of additional languages, e.g. Java or C, would be highly desirable. Familiarity with Linux network/server administration will be an advantage. Knowledge of Research Governance, data Protection Act and Good Clinical Practice is highly desirable. The post-holder will be required to work flexibly with various members in the Bioinformatics team at the collaborating teams in Paris and Kyoto. A demonstrated ability to communicate well and working within a team are therefore essential.

The post is a fulltime, fixed-term position for 2 years. Starting salary will be in the Grade 6 range £45,577 - £50,881 per annum dependent on experience and inclusive of London Allowance. Benefits include 30 days annual leave, a 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 Description).

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.

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

Informal enquiries about this post, including arrangements to visit the Institute/Centre, can be made to Professor Claude Chelala (c.chelala@qmul.ac.uk).

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

Application enquiries can be directed to p.charles@qmul.ac.uk

To apply, please visit the Human Resources website on http://www.hr.qmul.ac.uk/vacancies and search for reference QMUL15054

The closing date is 15 June 2018 and interviews are likely to be held shortly thereafter.

Valuing Diversity & Committed to Equality

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