Clinical Research Fellow

Hammersmith and Fulham, London (Greater)
£36,461 plus benefits. Full time, Fixed term post.
09 Aug 2018
03 Sep 2018
Contract Type
Full Time

Job summary

The Department of Surgery & Cancer and the Institute of Reproductive and Developmental Biology at Imperial College London invites applications for a Clinical Research Fellow. 
The successful candidate will work on a project entitled ‘Local treatment of cervical pre-invasive and early invasive disease: synthesis of the evidence and network meta-analysis’ funded by the National Institute of Health Research (NIHR) Research for Patient Benefits (RfPB). The role entails statistical analysis of data and developing of novel models to synthesize evidence from multiple observational and clinical studies.

The post holder will work on developing novel statistical models in meta-analysis for multiple interventions and will analyze data from systematic reviews. Working within a multidisciplinary and highly motivated environment, the post holder will have the opportunity to work in collaboration with various European research groups in the cutting edge of evidence synthesis.

Duties and responsibilities

A major focus of the post will be on the synthesis of data with meta-analysis and network meta-analysis from clinical trials and observational studies. The project will aim to assess the efficacy and morbidity associated with different surgical interventions used to treat cervical pre-invasive and early invasive disease. Successful applicants will have the opportunity to gain vast experience of working on challenging and exciting projects and collaborate with leading international researchers. The research project is in collaboration with the University of Bern in Switzerland and the London School of Economics in London.

Essential requirements

Applicants must demonstrate as part of their application, how they meet the essential requirements of the post. In particular, applicants should have a medical degree and GMC registration. Experience in epidemiology and statistics are an advantage. Previous experience in meta-analysis and data extraction in this field is highly desirable. Fluency in English and aptitude with writing and publishing manuscripts are essential.