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statistical expertise and collaborative support for clinical trials and research conducted within the School of Life Course and Population Sciences. They will be responsible for supporting research
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Assistant to join the Unit for Medical Statistics (UMS) in the School of Life Course & Population Sciences. The postholder will contribute to the work undertaken by existing staff and take day-to-day
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applications in ‘big data’ research using traditional statistical approaches and machine learning methods. You will undertake translational research to address health priorities for underserved and minority
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for the South African context. This post will be offered on a part-time (1 day per week), fixed term contract for 6 months. Key responsibilities Carry out statistical analyses of an existing risk/ resilience
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clinical predictions. Uncertainty quantification – the postholder will develop and apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by
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statistics) 8. Experience with clinical research and understanding of research methodology 9. Experience with data analysis 10. Good interpersonal skills to develop and maintain effective working
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qualitative data analysis software (Nvivo, MaxQDA etc) or statistical software (Stata, R). Knowledge of National Health Service and other public services in the UK. Candidates are strongly encouraged
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of clinical studies 9. Experience of database management and data analysis using statistical software 10. Experience of research interviewing, including psychological measures and clinical assessments
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require extensive data cleaning expertise and will apply advanced statistical techniques including predictive modelling, natural language processing and the development and validation of an explainable
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sciences (e.g. psychology, health economics, statistics, informatics, genetics) that underpin research at the faculty; and expertise (psychology, service research and improvement science) that improves