12 Statistics positions at University of Leicester in united-kingdom in United Kingdom
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respiratory, cardiovascular and psychiatric genomics but we welcome applications from other clinical areas. The group develops and applies statistical methods to enable genetic epidemiology studies, with
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senior statistical support to the research studies conducted across the lifestyle Theme. This include playing a pivotal role in the set-up and management of novel adaptive platform trial, which will form
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.’ About you As the successful applicant, you will have a PhD in a relevant area (e.g. Biostatistics/Medical Statistics/Epidemiology) as well as experience in advanced statistical modelling techniques
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professional knowledge and successful track record in securing research funding. As a member of the LRWE, you will undertake statistical analysis of cardiometabolic real-world data from classical observational
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, mathematical biology, statistics, statistical mechanics, (stochastic) dynamical systems, mathematics of Planet Earth, Artificial Intelligence, data science, or other areas consistent with our existing strengths
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statistical methods to analyse large-scale genomic datasets and decipher evolutionary patterns. Perform wet-lab experiments aimed at validating cell-diversity. Collaborate with multidisciplinary teams
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statistical genetics methodologies, such as GWAS (Genome-Wide Association Studies) and PheWAS (Phenome-Wide Association Studies), is essential. Proficiency in statistical programming languages (e.g., R, Python
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or, at least, basic knowledge of working with human tissue samples and an extensive background knowledge in the research field. You will have strong statistical skills and have experience of using standard
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across financial mathematics, economics, statistics, data science, mathematical modelling and risk management. You should have teaching experience in data science and/or actuarial science at Core
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Epidemiology, Medical Statistics, Health Data Sciences or other relevant quantitative disciplines and previous experience in environmental epidemiology for example air pollution, noise or chemical impacts