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, involved in study set up, trial management, and data analysis. The data analysis component will be primarily of genomic data. The purpose of this post is to identify and investigate genotype-phenotype
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for a Research Fellow in Bioinformatics/Computational Biology to help develop, coordinate, and conduct robust analysis of high-throughput host protein data under supervision using advanced analytical and
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reviewing, and quantitative and qualitative data analysis. The post-holder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic. The post-holder should have an in-depth knowledge
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for assessing comparative effectiveness is essential. Experience in cost-effectiveness analysis is desirable. The post is full-time 35 hours per week, 1.0 FTE (although part-time hours 0.5 - 1.0 FTE will be
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specialties and disciplines with a key interest in cancer MDT work. Experience in quality improvement, project management, data collection and analysis would be advantageous. A demonstrated ability to
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clinicians, managers, and policymakers. Our work brings together a wide range of methods, including quantitative evaluation, policy analysis and qualitative studies, and teams from a wide range of disciplines
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degree. They will have experience performing complex biostatistical analyses, risk prediction, and an aptitude for methodological research. Experience with epidemiological analysis or large-scale health