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About the role

You will develop and carry out independent research contributing as a team member to the MRC-funded project on “Novel approaches of multi-parameter evidence synthesis and decision modelling for efficient evaluation of diagnostic health technologies“. This post is based within the Biostatistics Research Group in the Department of Health Sciences at the University of Leicester and in collaboration with colleagues at the Universities of Glasgow and Sheffield. The post will involve the development and application of statistical methods for evaluation of diagnostic tests and biomarkers in a Health Technology Assessment setting. The methods development will include exploration of different ways in which electronic health records can be used to inform evaluation of diagnostic health technologies for healthcare policy and decision-making.  The methodological developments will be carried out within three work-packages using a series of real-world case studies to illustrate the advantages of different approaches. 

This is a great opportunity to work with teams of experienced researchers in Leicester, with collaborators in Sheffield and Glasgow (as well as more broad range of collaborators from academia and industry) and provides an opportunity to learn and develop skills in some of the areas listed above that you may not currently have.

The MRC funded research program aims to develop methods for the synthesis of evidence on diagnostic test accuracy measures and on the effectiveness of prognostic biomarkers from heterogeneous trial/study designs. Furthermore, it aims to develop methods for inclusion of data from electronic health records (EHRs) in assessment of diagnostic tools and a comprehensive decision-modelling framework for an efficient assessment of diagnostic health technologies.

The program involves joint work with a range of collaborators, including grant co-holders from Universities of Leicester (Dr Sylwia Bujkiewicz (PI), Dr Rhiannon Owen and Prof Keith Abrams), Sheffield (Prof Paul Tappenden and Dr Katy Cooper) and Glasgow (Dr Terry Quinn).

About you

The successful candidate will be educated to PhD level (or relevant MSc plus research experience) in Biostatistics/Medical Statistics, Applied Statistics/Statistics, Epidemiology, Health Technology Assessment, Health Economics or a closely related area.

You will have a high-level of expertise in one or more of biostatistics/medical statistics/applied statistics/epidemiology/Health Technology Assessment/ Health Economics, analysis of RCT and observational patient level data, simulation-based methods (including Markov Chain Monte Carlo), and meta-analysis/evidence synthesis methods (including meta-analysis of diagnostic test accuracy studies and/or network meta-analysis). You will also have outstanding communication skills, and a proven ability to contribute to the development of presentations and peer reviewed publications.

Additional information

Informal enquires are welcome and should be made to Dr Sylwia Bujkiewicz on sylwia.bujkiewicz@le.ac.uk or +44 (0)116 229 7258 or Dr Rhiannon Owen on rko4@le.ac.uk or +44 (0)116 229 7295.

Leicester is a leading University committed to international excellence, world-changing research and high quality, inspirational teaching. The University is ranked within the top 25 UK Universities in all international league tables and we are strongly committed to inclusivity, promoting equality and celebrating diversity among our staff and students. You will develop your career in a supportive and collaborative academic environment in one of the world’s leading research-intensive universities; elite in the excellence of our research, yet distinctive for the genuine synergy between our research and teaching.

In return for your hard work, we offer a competitive salary package with excellent pension scheme and a generous annual leave allowance. Located close to Leicester city centre, our award winning campus benefits from a wide range of cafes, a fully equipped sports centre and nursery facilities. Further information regarding our extensive range of staff benefits is available here.