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researcher (Grade 7), trained in statistics, epidemiology, economics or equivalent, with experience of longitudinal methods. Experience with one or more of the administrative databases within the ECHILD
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Exeter Clinical Trials Unit (ExeCTU); Faculty of Health and Life Sciences Summary of Post Exeter Clinical Trials Unit (ExeCTU) is seeking an ambitious individual to join our growing statistical
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systems scientists, PhD students and support staff, and will be expected to contribute to various large-scale projects. Duties and responsibilities With a PhD in epidemiology, statistics, data science, or a
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View All Vacancies Department of Medical Statistics Salary: £43,947 to £49,908 per annum, inclusive. Closing Date: Wednesday 24 April 2024 Reference: EPH-MS-2024-02 The London School of Hygiene
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apply state of the art statistical methodologies, to enable personalised uncertainty estimates, for predictions made by clinical AI. Explainability – the postholder will apply standard approaches
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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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skills• Skilled in analysing longitudinal data including target trial emulation approach• Proven proficiency using Statistical Software (e.g. SAS, R, Stata)• Strong working understanding
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analysis of electronic health record data using statistical software programs. Further particulars are included in the job description. The post is full-time, 1.0 FTE and fixed-term until 15 April 2027
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. The ideal candidate will hold a PhD in a relevant field (e.g., Computer Science, Bioengineering, Biology, Data Science, Statistics) and possess strong coding skills in R or Python. Proficiency in handling
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Investigator and Co-Investigators, will be responsible for preparing and analysing statistical data from longitudinal cohort studies, day-to-day management of the quantitative strand, and writing up and