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Position: Research Associate/Assistant 'Medical Statistician - (Systematic Reviews & Meta-analysis)'
Institution: University College London
Department: MRC Clinical Trials Unit at UCL
Location: London, United Kingdom
Duties: Responsibility for day to day management of statistical aspects of the studies: Liaising on data quality, actively providing a statistical viewpoint for decisions about trial management, and identification of potential problems impacting on final results. Provision of statistical advice on the development of new research proposals, including study design and sample size calculations. For proposals that are funded - assist in the development of case report forms and specifications for analysis datasets, and the study database
Requirements: The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts and familiarity with one or more statistical packages, a good understanding of randomised controlled trials principles. S/he will have practical experience of statistical methods in analysing trial data, and experience of working with multi-disciplinary teams and preparing/presenting reports. S/he will have experience of working within Higher Education and/or research organisations or similar environment, and be able to communicate effectively and professionally with a wide range of stakeholders at all levels. Knowledge of the biology and epidemiology of cancer is desirable
   
Text: Research Associate/Assistant 'Medical Statistician - (Systematic Reviews & Meta-analysis)', - Ref:1732436 Click here to go back to search results Apply Now UCL Department / Division MRC Clinical Trials Unit at UCL Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6B ?30,316 - ?31,967 per annum - Grade 7 ?34,635 - ?41,864 per annum Duties and Responsibilities The MRC Clinical Trials Unit is seeking two enthusiastic Trial Statisticians to provide statistical support for high profile international clinical trials in cancer and infectious diseases. The roles will involve working within multi-disciplinary teams on the trials and associated translational research within the CTU?s Cancer or Infections themes. The successful candidates will work on two trials in either Cancer or Infections: Cancer Trials: Include PROMIS, a diagnostic study that is evaluating the role of magnetic resonance imaging (MRI) in the diagnosis of prostate cancer; and RAMPART, an international phase III multi-arm multi-stage (MAMS) randomised-controlled platform trial conducted at hospitals in the UK, France, Australia, New Zealand and the US. https://www.rampart-trial.org/ Infections Trials: Include SURE, a clinical trial of short intensive anti-tuberculosis and anti-thrombosis treatment for children to be conducted in Vietnam, Uganda, Zambia and Zimbabwe; and RID-TB, a recent NIHR funded programme which includes a number of diagnostic and treatment studies of latent TB infection across 30 centres in the UK. Duties of the role will include: ?Responsibility for statistical aspects of the trials: Developing statistical analysis plans and working practices, undertaking analyses, preparation and presentation of reports, discussion and interpretation of results, assisting in the preparation of conference abstracts and papers for peer reviewed journals. ?Responsibility for day to day management of statistical aspects of the studies: Liaising on data quality, actively providing a statistical viewpoint for decisions about trial management, and identification of potential problems impacting on final results. ?Provision of statistical advice on the development of new research proposals, including study design and sample size calculations. ?For proposals that are funded - assist in the development of case report forms and specifications for analysis datasets, and the study database. ?Develop knowledge of the biology and epidemiology of relevant disease areas. ?Work on methodological problems, in collaboration with interested colleagues. ?Participate in teaching and in the statistical review of papers. Key Requirements The successful candidate will have an enthusiastic approach, excellent communication skills, and proven ability to prioritise and work to deadlines. S/he should have a good understanding of statistical concepts and familiarity with one or more statistical packages, a good understanding of randomised controlled trials principles. S/he will have practical experience of statistical methods in analysing trial data, and experience of working with multi-disciplinary teams and preparing/presenting reports. S/he will have experience of working within Higher Education and/or research organisations or similar environment, and be able to communicate effectively and professionally with a wide range of stakeholders at all levels. Knowledge of the biology and epidemiology of cancer is desirable. Further Details Candidates may also be interested in three other roles currently being advertised: Ref:1732458 Medical Statistician (Clinical Trials) x2;1732462: Medical Statistician (Clinical Trials); 1732464: Medical Statistician in Methodological Software. 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 on ( c.peel@ucl.ac.ukl ) or for an informal discussion regarding the post please call either David Fisher (Tel: 44 (0)207 670 4646) or Dr Jayne Tierney (Tel: 44 (0)20 7670 4724). UCL Taking Action for Equality We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 23 Jul 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 the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Job Description & Person Specification Apply Now
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