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Position: Medical Statistician
Institution: University of Oxford
Location: Oxford, Oxfordshire, United Kingdom
Duties: We are seeking a Medical Statistician to join a multidisciplinary team working on one of the world’s biggest prospective epidemiological studies, the China Kadoorie Biobank. The post is based in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) within the Nuffield Department of Population Health, a major international research institute and one of the world’s leading centres for research into chronic diseases
Requirements: You will have an MSc or PhD in statistics or a closely related field, or an undergraduate degree in statistics or a closely related field combined with substantial relevant work experience. You will also have a very good understanding of common statistical methods used in medical research. You should be familiar with the programming approaches needed to implement these methods in SAS and at least one other major statistical package (e.g. R, Stata) and a strong interest in biomedical/epidemiological research
   
Text: Medical Statistician Oxford Population Health (Nuffield Department of Population Health, University of Oxford), Old Road Campus, Headington, Oxford, OX3 7LF We are seeking a Medical Statistician to join a multidisciplinary team working on one of the world’s biggest prospective epidemiological studies, the China Kadoorie Biobank. The post is based in the Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU) within the Nuffield Department of Population Health, a major international research institute and one of the world’s leading centres for research into chronic diseases. You will join an existing team of statisticians, epidemiologists, geneticists, clinicians and programmers, involved in the design, conduct and analysis of studies of causes of common chronic disease. Specifically, you will undertake detailed statistical analysis, using conventional and novel methods, of large, complex and multi-dimensional data collected or to be generated using the China Kadoorie Biobank resource. You will have an MSc or PhD in statistics or a closely related field, or an undergraduate degree in statistics or a closely related field combined with substantial relevant work experience. You will also have a very good understanding of common statistical methods used in medical research. You should be familiar with the programming approaches needed to implement these methods in SAS and at least one other major statistical package (e.g. R, Stata) and a strong interest in biomedical/epidemiological research. Informal enquiries should be addressed to Derrick Bennett (derrick.bennett@ndph.ox.ac.uk). The position is full time (part time considered) and fixed term for three years. The closing date for applications is noon on 29 August 2022. Contact Person : Senior HR Assistant Vacancy ID : 159494 Contact Phone : 01865617933 Closing Date & Time : 29-Aug-2022 12:00 Pay Scale : STANDARD GRADE 7 Contact Email : recruit@ndph.ox.ac.uk Salary (£) : £33,309-£40,927 Click on the link(s) below to view documents Filesize Medical Statistician JD 159494 476.6
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