Department: Wolfson Institute of Preventive Medicine
Salary: £33,615 - £39,483 per annum (Grade 4)
Location: Charterhouse Square
Closing date: 03-Jul-2019
Applications are now invited for a Data Scientist with experience of data management and statistics. The primary focus of the data scientist is to carry out statistical analyses of large scale electronic health records from the HEAT, CAPP3 and other aspirin trials which will lead to substantive new findings relevant to understanding and improving of aspirin’s adverse effects. This is an important project to understand who is likely to benefit most from taking aspirin and who is at greater risk of bleeding side effects.
This post will be based in the Centre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Charterhouse Square within the Barts and The London School of Medicine and Dentistry, Queen Mary, University of London. We have recently received prestigious funding from a Cancer Research UK Catalyst award for the Aspirin for Cancer Prevention Project (AsCaP). This is an international, multi-disciplinary collaboration with 9 institutions in Harvard, Rome, Edinburgh, Heidelberg, Chieti, Newcastle and London to establish a partnership between population researchers and basic scientists to study the role of aspirin in cancer prevention and adjuvant treatment. We are looking to add a data scientist to a high-performing group focusing on bioinformatics, basic science, statistics and epidemiology to support research to explain the mechanisms of aspirin in cancer prevention.
Applicants must be educated to PhD level and have experience of analysis techniques appropriate to large scale datasets. Applicants must have a high level of statistical and computational proficiency using appropriate statistical software packages to process data (e.g. R, Stata). The post-holder will be expected to take an active role in the analysis and modelling of both publicly available (e.g. online or UK Biobank) and local NGS datasets (including large Aspirin clinical trials). Key techniques are likely to include development of statistical pipelines, building multivariate risk scores and assessing potential causal relationships. The post-holder will be expected to carry out analysis of study data in collaboration with the Centre’s statisticians and write up the results for publication.
The appointee must have excellent organisational, written and communication skills. They must have the ability to apply extensive working knowledge to address complex problems and challenges and have a comprehensive understanding and working knowledge of governance and legislation for the conduct of research (including GDPR).
The post is full time and fixed term for until 31 March 2023 and we are particularly seeking applicants who will forge a pathway to personal independence. Starting salary will be in the range £33,615 - £39,483 per annum inclusive of London Allowance. Benefits include 30 days annual leave and pension scheme.
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. The Centre for Cancer Prevention requires applicants to provide all certificates at interview to confirm their qualifications (as specified in the Job Description).
Informal enquiries should be addressed to Dr Belinda Nedjai, Senior Research Fellow: firstname.lastname@example.org
Details about the Institute can be found at https://www.qmul.ac.uk/wolfson/centres/ccp/
Application enquiries should be directed to email@example.com
To apply, please visit the Human Resources website on http://www.hr.qmul.ac.uk/vacancies and search for QMUL18795
The closing date for applications is 12 noon (GMT) on 3rd July 2019
Interviews: TBC July 2019
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