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statistics, biostatistics, or health data sciences together with an MSc in Public Health, Epidemiology, Statistics, Medical Statistics, Biostatistics, or a related field. Demonstrable advanced skills and
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Biostatistics, Mathematics, Statistics, Computing, Mathematical Biology or a related subject, and you will have demonstrable experience, ability and practical success in biostatistics or bioinformatics. You will
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. You will hold a Doctoral (or be near completion) degree in epidemiology, biostatistics, real world evidence, health data sciences, or a related field. You will have experience in the use of R
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, you will hold a PhD/DPhil (or be close to completion) in a relevant field such as statistics, biostatistics, infectious disease epidemiology, epidemic modelling. You will have research experience in
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completion of a PhD/DPhil or other doctoral-level qualification in epidemiology, biostatistics, big data or a relevant discipline. With demonstrable experience of working with population registers and large
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imaging data and identify & troubleshoot technical or scientific problems. You will have a Doctoral (PhD) degree or equivalent, or be near completion, in Biostatistics, Mathematics, Statistics, 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
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presentations/reports as required. It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and
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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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experience and ability in biostatistics or bioinformatics. You will also have previous experience in a laboratory research setting, and use of techniques including but not limited to PCR, qPCR, gel