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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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Statistics. The postholder will join the research team led by Dr John Busby and Prof Liam Heaney working on several projects related to chronic inflammatory disease, with an initial focus on chronic
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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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Location: Department of Statistics, 24-29 St Giles', Oxford We are seeking to recruit a Postdoctoral Research Assistant funded by Wellcome. This postholder will work on the development and
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statistical approaches to the study of the genetic architecture of human complex traits, with a focus on modelling statistical interactions between genetic mutations in DNA using Biobank-scale data
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statistical methods for biomedical applications. These internships are funded by NIHR and might ideally suit 2nd and 3rd year undergraduate students and students having recently graduated in Mathematics
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searches, data set curation, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting
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discipline such as epidemiology, mathematics, physics, statistics, bioinformatics or computational biology, or similar research experience. Candidates should have proficient knowledge of a programming language
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successful candidate will: Have extensive experience with qualitative research including study design, data collection, and data analysis. Have high analytical experience to analyse and interpret statistical
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. You will hold a relevant BA or MSc degree in Mathematics, Engineering, or a related field. Knowledge of medical statistics and experience analysing large datasets, experience in biostatistics and/or