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Position: Data Engineer
Institution: University College London
Department: Institute of cardiovascular Science - MRC Unit for Lifelong Health and Ageing at UCL
Location: London, United Kingdom
Duties: The mission of the MRC Unit for Lifelong Health and Ageing at UCL (MRC LHA) is to identify biological and social factors that affect lifelong health, ageing and the development of chronic disease, and to use findings to design and test interventions that enhance healthy ageing. The LHA is about to embark on a new wave of data collection; The main purpose of this post is to work as part of the data management team in the development, support, and management of databases, data collection software (e.g. XNAT, REDCap), post processing to create datasets, programs, scripts, and metadata documentation for all studies managed by MRC LHA; The appointment will be full time and is available immediately until 31 March 2024 in the first instance
Requirements: The successful candidate will have a BSc in a quantitative science discipline (e.g. Mathematics, Computer Science or a closely related subject), experience in and an interest and aptitude for computer programming and a basic knowledge of statistical and mathematical data analysis; They will also need to be able to interpret and clearly articulate technical and complex information as well as have good written communication skills
   
Text: Data Engineer, - Ref:1884049 Click here to go back to search results Apply Now UCL Department / Division Institute of cardiovascular Science Specific unit / Sub department MRC Unit for Lifelong Health and Ageing at UCL Location of position London Grade 6 Hours Full Time Salary (inclusive of London allowance) £29,802 - £34,867 per annum Duties and Responsibilities The mission of the MRC Unit for Lifelong Health and Ageing at UCL (MRC LHA) is to identify biological and social factors that affect lifelong health, ageing and the development of chronic disease, and to use findings to design and test interventions that enhance healthy ageing. The LHA is about to embark on a new wave of data collection. The main purpose of this post is to work as part of the data management team in the development, support, and management of databases, data collection software (e.g. XNAT, REDCap), post processing to create datasets, programs, scripts, and metadata documentation for all studies managed by MRC LHA. The appointment will be full time and is available immediately until 31 March 2024 in the first instance. Key Requirements The successful candidate will have a BSc in a quantitative science discipline (e.g. Mathematics, Computer Science or a closely related subject), experience in and an interest and aptitude for computer programming and a basic knowledge of statistical and mathematical data analysis. They will also need to be able to interpret and clearly articulate technical and complex information as well as have good written communication skills. Further Details A job description and person specification can be accessed at the bottom of this page. To apply please click on the Apply Now button below. If you have any queries regarding the vacancy please contact Jane Johnson, jane.johnson@ucl.ac.ukor the application process, please contact Jane Johnson, jane.johnson@ucl.ac.uk (020 7670 5700) The UCL Ways of Working for professional services supports colleagues to be successful and happy at UCL through sharing expectations around how we work please see www.ucl.ac.uk/ways-of-working to find out more. We particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level. Closing Date 24 May 2022 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Silver award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description Apply Now
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