UCL Department/Division: UCL Institute of Education
Specific unit/Sub department: Department of Social Science
Location of position: London
Closing Date: 9 April 2019 at 23:59
Interview date: TBC
Hours: Full time
Salary: £28,574 – £33,484 per annum
A person specification and job description are available to view on the UCL job listing.
We are looking to recruit an Assistant Data Manager at the UCL Centre for Longitudinal Studies (CLS). This post represents an exciting opportunity to join the existing team of research data managers, to assist in taking forward the management of the research data for the four cohort studies managed by CLS. The role provides an excellent opportunity for an individual interested in user support and the effective management of survey research data and related documentation. Data management at CLS uses a combination relational databases, SPSS, R and Python.
You will be responsible for the record keeping of data usage and data sharing, and will provide user support and assistance in data sharing, data cleaning, checking and documentation. You will have a good understanding of the survey data collection process and be committed to the provision professional user support and of high quality, well-documented and structured data to facilitate research.
This post is available from the 31st March 2019 and is funded until 31st March 2020 in the first instance.
Candidates should have a first degree in a quantitative discipline or equivalent professional experience in analytical areas (e.g. operational research). They will have proven experience in the use of a variety of IT packages for data entry and data management, preferably of social science or health data, and be able to undertake data manipulation and analysis using syntax in statistical packages.
They will also have experience of contributing to reports and presentation of data, an interest in interdisciplinary research in the social sciences and be committed to the provision of high quality, well-documented data, structured to facilitate research.
For further details about this post, please contact Aida Sanchez (email@example.com).
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