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Do not reply to me directly - please visit website at bottom of advert. ======================================================= Postdoctoral Statistician – Research Statistics Temporary Role Sandwich, Kent Pfizer’s Research Statistics department is a group of statisticians who apply statistical thinking and methods towards developing new medicines for human disease, supporting the late stage pre-clinical and early stage clinical activities in the pharmaceutical development process. A postdoctoral research position is currently available for a statistician with a sound understanding of experimental design and linear mixed models. You’ll support project teams in the design and analysis of studies run to assess the efficacy and safety of new chemical entities. As part of a team, you will have the opportunity to obtain practical experience in the application of statistical theory, as well as help to assess the value of innovative approaches to study design and analysis. We are currently assessing novel approaches for the handling of risk and uncertainty in decision making, Bayesian methods in the design and analysis of studies, as well as efficient ways to obtain maximum information from longitudinal studies. Some time will be available for you to research new statistical methodologies relevant to the issues we face. What you will need: - You will either have recently qualified with a PhD in Statistics or be close to completion, with a demonstrable interest in the application of statistics to practical scientific problems. - A strong knowledge of statistical theory relevant to the design and analysis of experiments is essential. - A sound understanding of the main concepts underpinning: Normal linear mixed models and standard experimental designs applied in scientific research. - Experience in applying linear mixed models to real problems - Experience in using at least one of the following packages: SAS, S+/R or Genstat. To Apply: To find out more and to apply visit www.pfizer.co.uk/careers and enter the job opening I.D. 934876. Closing date: 6th December 2009