 |
 |
*Department of Epidemiology and Biostatistics* *School of Public Health* *Research Associate in Biostatistics* *Salary: £33,410 - 42,380 per annum* *Duration: 3 years fixed term* This is an exciting opportunity for a researcher with a PhD in statistics, biostatistics or a related quantitative subject to join the research team at the national MRC-PHE Centre for Environment and Health ( http://www.environment-health.ac.uk/). The post is based within the Department of Epidemiology and Biostatistics and will be line managed by Dr Marta Blangiardo. The post holder will work on the MRC methodology funded grant: “*A general framework to adjust for missing confounders in observational studies*” to develop a Bayesian statistical approach to integrate different sources of data and to use the propensity score for missing data imputation in the context of epidemiological observational studies. This is a collaborative project between Imperial College, LSHTM and Cambridge MRC-BSU. You should have a thorough working knowledge of Bayesian modelling and some experience of working with spatial statistics and of analysing epidemiological/biomedical data. Familiarity with R/BUGS is essential. You should be motivated and extremely organised with experience of working in multi-disciplinary teams. This full-time post is based at the St Mary’s Campus, Paddington and will be fixed term for three years. For informal enquiries please contact Dr Marta Blangiardo: [log in to unmask] Our preferred method of application is online via our website at http://www3.imperial.ac.uk/employment (please select “Job Search” then enter the job title or vacancy reference number into “Keywords”). Please complete and upload an application form as directed *quoting reference number* *SM137-15AL.* Alternatively, if you are unable to apply online, please email [log in to unmask] to request an application form. *Closing date:22nd July 2015 (midnight BST)* *Interviews will be held in September* Marta Blangiardo, PhD MRC Centre for Environment and Health, Department of Epidemiology and Biostatistics Room 526, 5th Floor School of Medicine St Mary's Campus, Imperial College London Tel +44(0)20 7594 3309 **Out now!** Spatial and Spatio-temporal Bayesian Models with R - INLA www.wiley.com/buy/9781118326558 <http://dmmsclick.wiley.com/click.asp?p=11735506&m=93565&u=2438307> You may leave the list at any time by sending the command SIGNOFF allstat to [log in to unmask], leaving the subject line blank.