Senior Lecturer in Quantitative Methods for the Administrative Data Research

University College London - UCL Institute of Child Health

The post holder will aim to advance and widen the use of quantitative methods for research using linked administrative data, to build capacity in this area through attracting grants and will contribute to teaching, and to developing the scientific strategy within the Population, Policy & Practice UCL Great Ormond Street Institute of Child Health (PPP UCLGOSICH). The post holder will also be expected to develop and lead an area of research which could focus on methodology or be a programme of research applied to policy or organisation of services. Relevance to children or families is desirable. The research should address the aims of the ADRC-E, which are to widen the use of administrative data for research.

The post would be suitable for a highly skilled quantitative Senior Lecturer who wants to address the challenges of using linkage of large administrative datasets to inform policy, service development, and/or methodological advances.

We seek an experienced, quantitative Senior Lecturer with a strong track record in research using administrative data.

The post holder will have excellent skills in quantitative analysis using large, longitudinal administrative data and expertise in related data resources, such as cohorts, surveys or trials linked to administrative data, would be an advantage. As well as possessing detailed knowledge of administrative data from at least one service sector (e.g. health, finance, education).

Higher academic degree e.g. PhD (or in final stages of preparation), or evidence of an equivalent level of attainment in research publications in statistics or related quantitative science.

Publications as first or last author in internationally refereed journals on topics mentioned in Job Description.

Experience in administrative data research.

Expertise in methods for dealing with measurement/misclassification error and missing data within the context of linked administrative data would be particularly valuable.

Experience of teaching at undergraduate or postgraduate levels.

Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.

I f you have any queries regarding the vacancy or the application process, please contact Anne Skinner at quoting reference.

Closing Date: 30 September 2017

Latest time for the submission of applications: 23:59

Interview Date: 13 October 2017

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