Research Associate in Data Linkage / Statistics – UCL Institute of Child Health
Supervisors: Prof Ruth Gilbert, Prof Harvey Goldstein, Dr Mario Cortina-Borja, Dr Roger Parslow
This post offers an excellent opportunity for a post-doctorate statistician to enhance their expertise in linkage of large administrative
datasets for research and to gain experience in a variety of research environments. This
linkage methodology project will be based on data from two large administrative datasets - Hospital Episode Statistics (HES) and LabBase2 (national infection surveillance) and will involve collaboration between UCL-ICH, Public Health England (PHE, formerly
the Health Protection Agency), the University of Leeds and the Health and Social Care Information Centre (HSCIC).
Key Requirements
Applicants should have a PhD or equivalent in statistics or related subject and have experience of handling large, complex data sets using software packages such as R, Stata, SQL and
SAS. Applicants must also have experience of writing papers for peer-reviewed journals, excellent written, verbal and computational skills and strong working knowledge of research methods in statistics and epidemiology.
The position is funded for until end of September 2014 in the first instance.
The post will be primarily based at the Centre for Paediatric Epidemiology and Biostatistics at the UCL Institute of Child Health. For six months of the role, the post-holder will be based in Leeds for access to HES via HSCIC and will be supervised through
the Department of Epidemiology at the University of Leeds (reimbursement for travel from London and accommodation in Leeds will be provided). Secondments are welcome.
A job description and person specification can be found at
http://www.jobs.ac.uk/job/AGL638/research-associate-in-statistics/
Closing date: 22nd May 2013. For further information or informal enquiries, email
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Katie Harron
MRC Centre of Epidemiology for Child Health
Institute of Child Health
University College London
0207 905 2764