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Engineering, or related discipline, or equivalent industry experience. Practical experience of software design and development in a commercial R&D environment. Experience in producing high-quality outputs
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of health or clinical data Demonstrable experience of applying statistical methods to complex research problems Proficiency in a range of statistical software (e.g. R, Stata, SAS, SPSS or equivalent
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to microbiology and formulation science, specifically peptide handling, sterile formulation preparation, and physicochemical characterisation. Experience of using analytical tools and software relevant
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appropriate languages and software, such as R, and of designing, developing or refining experimental methodologies to generate reliable and reproducible data. They must be able to analyse, critically evaluate
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experience in evidence synthesis. Has a publication record commensurate with stage of career. Has experience of using statistical and software packages relevant to evidence synthesis. Is able to deal
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PhD in a related discipline. Has at least 3 years’ research experience in evidence synthesis. Has a publication record commensurate with stage of career. Has experience of using statistical and software