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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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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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statistical analysis Ability to take initiative to solve technical and logistical problems Ability to write reports and manuscripts to a high-level Flexible approach to working (including travel, hours
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slide image data for digital pathology approaches. Applicants should have a strong computational background and expertise in dealing with large datasets. Excellent programming, data analysis, statistics