Data Linkage Statistician, Institute of Cancer Research, Sutton, UK
The Institute of Cancer Research, London, is one of the world’s most influential cancer research organisations, with an outstanding record of achievement dating back more than 100 years. We provided the first convincing evidence that DNA damage is the basic cause of cancer, and discovered many of the early chemotherapy drugs. Today, The Institute of Cancer Research (ICR) leads the world at isolating cancer-related genes and discovering new targeted drugs for personalised cancer treatment.
The ICR is ranked as the UK’s leading academic research centre. Our unique partnership with The Royal Marsden and ‘bench-to-bedside’ approach allows us to create and deliver results in a way that other institutions cannot. Together we are rated in the top four cancer centres globally.
The ICR is committed to attracting, developing and retaining the best minds in the world to join us in our mission – to make the discoveries that defeat cancer.
Do you like the challenge of complex datasets?
Do you want variety in your work and opportunities to apply your statistical knowledge across a number of therapeutic areas in oncology?
Would you like to work as part of a multi-disciplinary research team and with like-minded statisticians?
The Institute of Cancer Research, one of the world’s leading cancer research centres, is looking for statisticians to join the Clinical Trials and Statistics Unit (ICR-CTSU) at its Sutton site in Surrey. You will be a motivated statistician and will work on the statistical development, oversight and analysis of a number of multi-centre phase II/III clinical trials and/or associated translational biomarker research studies cross our national and international portfolio.
The successful applicant will have a post-graduate qualification in statistics or a first degree in statistics and practical experience in medical statistics, a sound understanding of randomised controlled trials and experience with survival analysis methods and applying statistical methods to real data.
More Information >>>>> http://bit.ly/324qLI3
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