Data Manager - Pearl

Bristol , City of Bristol (GB)
17 Oct 2016
End of advertisement period
13 Nov 2016
Contract Type
Fixed Term
Full Time

Data Manager (PEARL)

School of Social and Community Medicine
£35,609 - £40,082
Open ended contract staff
Full time
Job number:

This is an exciting opportunity to work with big and complex research data in the world renowned ALSPAC birth cohort study. ALSPAC is a long-term study looking at the genetic and environmental determinants of health and development in a cohort of over 15,000 children born in the early 1990s. Since birth the children and their families have provided large quantities of scientific data that is made available to researchers. The ALSPAC Data Linkage Team are responsible for enhancing this resource by 1) negotiating access to routine health (e.g. GP and hospital) records and social (e.g. school) records, and 2) extracting, processing and making these data available to researchers in a secure manner.
You will manage the day-to-day operational collection and use of these linked records. This will include: working with external organisations (e.g. the NHS and other government departments); designing and running the data systems that hold these data; making the data available to the scientific community in a secure and timely manner; and, creating appropriate documentation and cataloguing of the data to ensure their long-term availability and usability. You will manage an assistant(s) who will conduct routine data processing (amongst other roles).
You will need to have an aptitude for data management, programming, and a general enthusiasm and pride in working with data. You will be working within a research active team, and while you will not be expected to lead academic research, your input to the team’s research will be welcomed. The wider team’s work involves numerous national and international collaborative groups; primarily the Data2Knowledge group (Bristol), the CLOSER cohort consortium (London) and the Welsh Farr Institute (Swansea) – which gives plenty of opportunity for sharing and developing good practice and being part of a wider community of data experts.
For informal enquiries, please contact Andy Boyd:

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The closing date for applications is 13 November 2016.