University College London - Great Ormond Street Institute of Child Health - Population, Policy and Practice
|Salary:||£34,056 to £41,163 per annum (Grade 7), inclusive of London Allowance.|
|Contract Type:||Contract / Temporary|
|Placed on:||3rd November 2016|
|Closes:||3rd December 2016|
This post provides an outstanding opportunity to undertake high impact quantitative research relating to administrative data and to co-ordinate the receipt and management of confidential administrative research datasets. The combined position of Research Associate will both support and monitor researchers undertaking projects in the Administrative Data Research Centre for England (ADRC-E) Bloomsbury site and provide the opportunity to develop research involving linked datasets. The post holder will be at the cutting-edge of research using a range of administrative datasets from government sectors and will be expected to develop government and cross-sectoral expertise in using administrative data for research. We would expect the post holder to develop expertise and specialist knowledge of datasets in a specific sector. The post holder will be encouraged to develop a field of research involving linked administrative data, undertake analyses and publish research papers.
The Administrative Data Research Centre for England (ADRC-E) is an ESRC-funded collaboration between the University of Southampton and three Institutions within Bloomsbury (UCL, the London School of Hygiene and Tropical Medicine and the Institute of Fiscal Studies).The ADRC-E aims to widen the use of linked electronic records for research, thereby opening up a new era in research to inform for policy, service development and understanding of people’s lives.
The post is available immediately and is funded until 30/09/2018 in the first instance.
Applicants should hold a PhD in a relevant discipline (e.g. computer science, bioinformatics, health informatics) or have equivalent relevant experience.
Experience of data management of large administrative datasets and creating data cleaning algorithms. Experience with statistical analysis packages (e.g. STATA, R, SAS) and of carrying out high quality research.
UCL vacancy reference: 1606269.
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below. If you have any queries regarding the vacancy or the application process, please contact Lana Chiew on firstname.lastname@example.org.
Closing Date: 3 December 2016.
Latest time for the submission of applications: 23:59.
Interview Date: 15 December 2016.
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