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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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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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data analysis using statistical software 10. Experience of research interviewing, including psychological measures and clinical assessments in patient groups Desirable criteria 1. GCP training
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scientific data critically using statistical software for data analysis Knowledge of bioethics, particularly in the context of genetic research and prenatal therapies, and experience engaging with diverse
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health services research, epidemiology, statistics, psychology or public health. 2. Good interpersonal skills 3. Attention to detail 4. Proficiency in IT (Word, Excel, database use) 5
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. Analysis of data using appropriate statistical and other packages e.g. SPSS, Excel. Be self-serving in producing reports, in communication and in establishing and managing an electronic database
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, including experience with coding and data management in common statistical programming languages (e.g. Stata, R, and/or Python). Desirable criteria 3. A good grasp of relevant academic literature (e.g
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. Solid expertise in research methods, including experience with coding and data management in common statistical programming languages (e.g. Stata, R, and/or Python). Desirable criteria 4. A good
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. Keep accurate written and electronic records of all work undertaken. Analyse data, carry out statistical analyses and provide supervisors with regular updates. Liaise regularly with the project