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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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Fellow (RF) scale, depending on career level and expertise. Prospective candidates are expected to have an undergraduate degree in the field of health/environmental science or statistics, and postgraduate
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conclusions from these and they will be a highly experienced user of Excel and statistics packages such as SPSS. They will be proactive in their approach to work and will be able to work both independently and
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subject, or equivalent experience, knowledge of clinical trials, statistical computing code (e.g. Stata or R), and experience of applied statistics, developing statistical analysis plans and communicating
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postgraduate degree, ideally a doctoral degree, in a relevant topic and relevant experience in mathematical modelling, health economics, epidemiology, statistics or another relevant discipline with a strong
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Science, Statistics, Mathematics, Bioinformatics, or related fields; or a Bachelors degree in a similar field plus proven experience of applied database design, development and management. You will have strong skills
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An undergraduate degree in economics or statistics or equivalent experience is essential as is experience in data analysis and experience coding with Stata and R. Knowledge of the principles
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), murine in vivo work & experience in managing mouse colonies (highly desirable for the post). Good knowledge of software for statistical analyses (graph-pad), editing figures (image-j, photoshop and