The post holder will take the lead in undertaking detailed statistical analysis, using conventional and novel methods, of large, complex and multi-dimensional data collected or to be generated. The post holder is also expected to develop their own research ideas, write high-profile scientific publications and present their work at scientific and other meetings. Successful candidates will have the opportunity to undertake teaching within the University at undergraduate and postgraduate level
A PhD in statistics or a closely related field or demonstrable experience, ability and practical success in statistical analyses. Excellent understanding of common statistical methods used in medical research (e.g., exploratory data analysis, regression and survival analysis) and of the programming approaches needed to implement these methods. Proficiency in SAS and at least one other statistical package such as R or Stata. Research experience and a publication record in in biomedical/epidemiological research. Experience in developing new methods and techniques
Senior Medical Statistician (Translational Epidemiology Unit) NDPH, Old Road Campus, Headington, Oxford Grade 8: £39,992 - £47,722 p.a. The Nuffield Department of Population Health (NDPH) contains world-renowned population health research groups and provides an excellent environment for multi-disciplinary research and teaching. Based within NDPH, The Translational Epidemiology Unit (TEU) establishes causes of disease and translates epidemiologic findings to population-wide interventions to improve the public health through precision prevention. We are seeking a Senior Medical Statistician to join a multidisciplinary team involved in the design, conduct and analysis of studies of genetic and non-genetic causes of common chronic diseases. You will take the lead in undertaking detailed statistical analysis, using conventional and novel methods, of large, complex and multi-dimensional data collected or to be generated. You will advise and supervise junior staff, present at scientific meetings and contribute to papers in high profile publications. To be considered you will have a PhD in statistics or a closely related field. You will require a strong understanding of common statistical methods used in medical research and proficiency in SAS and working knowledge of at least one other statistical package such as Stata or R. A strong publication record in biomedical/epidemiological research, excellent communication skills and the ability to supervise staff are also essential for this role. The post is full-time (part-time considered) and fixed-term for 2 years in the first instance. Informal enquiries should be addressed to Professor David Hunter ( firstname.lastname@example.org ). The closing date for applications is 12.00 noon on 15 January 2018. Please note that the University of Oxford's retirement policy has changed. With effect from 1 October 2017, all employees at Grade 8 and above have a retirement age of the 30 September before the 69th birthday. All employees at Grades 1-7 do not have a set retirement age. Further details are available here: www.ox.ac.uk/about/jobs/preemploymentscreening. Contact Person : HR Assistant Vacancy ID : 132299 Contact Phone : 01865 743629 Closing Date : 15-Jan-2018 Contact Email : email@example.com Click on the link(s) below to view documents Filesize Medical Statistician G8 JD Nov 17- DH 468.8
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