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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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the UK. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination. You should have post-graduate training and/or significant work experience in
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. Activities will include: data preparation, statistical/epidemiological analysis, interpretation and dissemination. Applicants should have post-graduate training and/or significant work experience in
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. You will hold a relevant post-graduate degree in Epidemiology or a related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses
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related field together with experience in biostatistics and/or health data sciences. Experience in programming statistical analyses, preferably in R and experience in writing scientific documents, e.g
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, excellent organisational and interpersonal skills, good understanding of computers and software, knowledge of statistics and experimental design, and be experienced in the use of statistical packages such as
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with internal and external collaborators. The post-holder should have a relevant MSc in the field of epidemiology, medical statistics, health data science or a related subject. Relevant experience
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with internal and external collaborators. The post-holder should have a relevant MSc in the field of epidemiology, medical statistics, health data science or a related subject. Relevant experience
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the collection, management and analysis of quantitative data and prior research experience in water, sanitation, and hygiene (WASH) and experience or training with Stata or R statistical packages, should
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Child Health to improve service provision and outcomes for families and children in the Western cluster. Proactively research, understand and apply new statistical techniques which may include machine