This is an exciting opportunity to undertake the data management activities and statistical analyses as part of two individual participant data (IPD) meta-analyses of randomised controlled trials, evaluating:
- moderators of the effectiveness of self-management support interventions in reducing urgent healthcare use in patients with respiratory conditions
- whether Pedometers are an effective strategy to Increase Physical Activity and Improve Health
This post is funded through an NIHR School for Primary Care Research (SPCR) collaborative project of all nine primary care member departments, the Evidence Synthesis Working group (ESWG).
You will join a multi-centre research project (with collaborators in Universities of Bristol, Cambridge, Keele, Manchester, Newcastle, Nottingham, Oxford, Southampton and UCL). You will be responsible to Dr Maria Panagioti, the Manchester lead of the project, and you will be co-supervised by colleagues with considerable expertise in IPD meta-analysis (Dr Evan Kontopantelis) and trial methodologies (Peter Bower).
You should hold a PhD in Medical Statistics or a related fields or equivalent experience. You should have prior experience of statistical analysis applied to health intervention data, preferable in multi-level modelling and meta-analysis. The position is available immediately until 31 May 2019. A more detailed job description and person specification is available below.
As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.
Please note that we are unable to respond to enquiries, accept CV's or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Dr Maria Panagioti
Tel: 0161 275 4499
Tel: 01565 818 234
This vacancy will close for applications at midnight on the closing date.