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Position: Medical Statistician - Research Fellow in Statistical Methodology
Institution: University College London
Department: MRC Clinical Trials Unit at UCL
Location: London, United Kingdom
Duties: The Unit wants to appoint a statistician to work on the methodology programme. This will involve working on projects in missing data, treatment changes, trial design and/or network meta-analysis. Specific projects will be chosen according to the post-holder’s interests and experience. The post-holder will interact with trial statisticians and investigators across the Unit in order to develop methodology that has practical benefit to trials within and outside the Unit
Requirements: The successful candidate will have a MSc or PhD in Medical Statistics or a closely related subject; sound understanding of medical statistics; interest in methodological development in a biomedical environment; and will work effectively with methodologists and trialists
   
Text: Medical Statistician - Research Fellow in Statistical Methodology, - Ref:1740021 Click here to go back to search results Apply Now UCL Department / Division MRC Clinical Trials Unit at UCL Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?34,635 - ?41,864 per annum Duties and Responsibilities The MRC Clinical Trials Unit at UCL (MRC CTU) is an international centre of excellence for clinical trials and associated research, undertaking the design, conduct, analysis and reporting of large-scale, multi-centre studies, resolving internationally important questions in infectious diseases and cancer, and delivering swifter and more effective translation of scientific research into patient benefits. It does this by carrying out challenging and innovative studies, and developing and implementing methodological advances in study design, conduct and analysis. It hosts one of the MRC?s five regional Hubs for Trials Methodology Research. The MRC CTU at UCL is a UKCRC registered trials unit and is part of the Institute for Clinical Trials and Methodology at UCL, within the Faculty of Population Health Sciences in the UCL School of Life and Medical Sciences. The Unit wants to appoint a statistician to work on the methodology programme. This will involve working with Professor Ian White on projects in missing data, treatment changes, trial design and/or network meta-analysis. Specific projects will be chosen according to the post-holder?s interests and experience. The post-holder will interact with trial statisticians and investigators across the Unit in order to develop methodology that has practical benefit to trials within and outside the Unit. Key Requirements The successful candidate will have a MSc or PhD in Medical Statistics or a closely related subject; sound understanding of medical statistics; interest in methodological development in a biomedical environment; and will work effectively with methodologists and trialists. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the ?Apply Now? button below. Further information about the Institute is available via the ICTM website http://www.ucl.ac.uk/ictm If you have any queries regarding the vacancy or the application process, please contact Carole Booth ( c.peel@ucl.ac.uk ) or for an informal discussion regarding the post please call Prof. Ian White (Tel: 44 (0)20 7670 4715). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 30 Aug 2018 Latest time for the submission of applications 23:59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job descripiton and person specification Apply Now
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