Postdoctoral Research Associate in Biostatistics and Epidemiology @ Imperial College London

Postdoctoral Research Associate in Biostatistics and Epidemiology
Institute of Reproductive & Developmental Biology, Department of Surgery & Cancer
Imperial College London
General Description: The Department of Surgery & Cancer and the Institute of Reproductive and Developmental Biology at Imperial College London invites applications for a Postdoctoral Research Associate. The post is embedded in the project ‘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). It entails statistical analysis of data and developing of novel models to synthesize evidence from multiple observational and clinical studies.
Details: The post holder will work on developing novel statistical models in meta-analysis for multiple interventions and will analyze data from systematic reviews. Within a multidisciplinary and highly motivated environment, the post will provide the opportunity to the successful candidate to work in collaboration with various European research groups in the cutting edge of evidence synthesis. 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.
Setting: The post is funded by a NIHR grant. The grant supports also training opportunities and career development for early experience researchers. This will allow the post holder to attend workshops, conferences and networking activities. Research supervision will be provided by Dr Maria Kyrgiou (Clinical Senior Lecturer & Consultant Gynecologic Oncologist in Imperial College London) and Prof. Georgia Salanti at the University of Bern in Switzerland.
Qualifications: You should have a PhD, or equivalent, in a quantitative discipline such as statistics, applied mathematics, computational biology, or computer science. Experience in epidemiology and understanding of clinical problems are an important advantage.
Programming skills in a high level language such as R are essential and previous experience with Bayesian methodology is desirable. Fluency in English and aptitude with writing and publishing manuscripts are essential.

Applications should include a CV, contact details for two academic or professional referees and a cover letter with a personal statement (about half a page) describing your suitability and motivation.

For informal enquiries and applications please contactm.kyrgiou@imperial.ac.uk or georgia.salanti@ispm.unibe.ch

Post Duration: 2 years
Location: London
Salary: £36,800 per annum
Closing date: 15 February 2018