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Vacancy – Research Data Manager (Centre for Longitudinal Studies)


The IOE’s Department of Social Science are recruiting a Research Data Manager to join the Centre for Longitudinal Studies.

This post is based in the IOE’s Department of Social Science, where CLOSER is also based. This post is not based in CLOSER.

Ref: 1706144
Closing date: 18 February 2018
Interview date: TBC
Salary: £34,635 – £41,864 per annum
Contract: Full time

A job description and person specification can be accessed on the UCL jobs page.

Duties and Responsibilities

Applicants are invited for a Research Data Manager position in the Department of Social Science (DSS) which houses the Centre for Longitudinal Studies (CLS).

The Centre has responsibility for four of Britain’s internationally renowned cohort studies which follow individuals throughout their lives.

  • 1958 National Child Development Study (NCDS)
  • 1970 British Cohort Study (BCS70)
  • Millennium Cohort Study (MCS)
  • Next Steps

The studies involve multiple surveys, with specialized forms of data collection (for example physical measurements) and linkages to administrative records.

This full-time appointment will be available immediately from March 2018 until 31st March 2020 in the first instance.

The role provides an excellent opportunity for an individual interested in the effective management of survey research data. Data management at CLS uses a combination of SIR ( and PostgreSQL databases, R, SPSS and Python. You will have a good understanding of the preparation of complex longitudinal data for research purposes, 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.

Key Requirements

Candidates should have an MSc or equivalent experience in a quantitative social science or related discipline. They will have experience managing social science data preferably using relational databases and be able to manage data using code/syntax in statistical packages. They will also have experience automating, streamlining and improving processes using tools/technologies such as R or Python.

Further Details

To apply for this position, please click the ‘Apply now’ button on the UCL job listing.

If you have any queries regarding the vacancy or the application process, please contact Dr Aida Sanchez, by email at

They particularly welcome applications from black and minority ethnic candidates as they are under-represented within UCL at this level.