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research on appropriate statistical and machine-learning methodology in the areas of large scale omics data such as genomics, transcriptomics, proteomics/metabolomics and the integration of these, as
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The School of Mathematics & Statistics combines world-leading research expertise in pure mathematics, applied mathematics and statistics. Our research in statistics impacts across a range of areas
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JobPurpose A Lead Biostatistician works independently, carrying out statistical programming, analyses, reporting, validation, consultancy and, where applicable, teaching. This involves managing
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documentation and ensuring all necessary permissions are in place for research projects to proceed. 4. Clean and manage research datasets to ensure they are suitable for analysis; and conduct statistical
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manage our prospect and member’s database, utilising information from the Leisure Management System (LMS) for statistical reports, amount of prospects, where they are on the journey and conversion rates as
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presentations. Desirable: D1 Experience with statistical analyses. D2 Experience in proteomics D3 Data handling and management skills. Experience Essential: E1 Sufficient breadth and/or depth of knowledge in
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, including ability to conduct advanced statistical analytical techniques using a relevant software package (e.g. R, Stata, SAS). C5 Effective verbal and written communications skills, especially communicating
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across the institution. Main Duties & Responsibilities • Deliver statistically robust insight and analysis into all areas of innovation and economic development, for example, progress against key
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change. The postholder will be based at the School of Mathematics and Statistics, University of Glasgow working with Prof Christina Cobbold and will work jointly with project partners Drs Steven White and
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the equivalent in professional qualifications and experience, with experience of personal development in a similar or related role(s) Knowledge and Skills Essential: C1. Knowledge of advanced statistical methods