We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. Ability to apply statistical expertise to problems, problem solving and quality focus.ĪstraZeneca embraces diversity and equality of opportunity.Programming Knowledge and experience (SAS or R preferred).MSc/PhD in Statistics, Mathematics (containing a substantial statistical component), or recognised equivalent to stats MSc.Accountable for the quality of their statistical work provide discipline-specific understanding, insight and constructive challenge and self-aware of own development needsĮducation, Qualifications, Skills and Experience.Contribute to the development of best practice to improve quality, efficiency and effectiveness.Contribute to the application of statistical methodology to improve the process and delivery activities.Contribute to improvement of methodology and provide practical solutions for problems.Statistical support for regulatory submissions.Interpretation, summarisation and communication of results of standard studies.Production of analysis, supporting graphics and analysis tables for projects, such as preclinical studies, clinical study reports, Global Medical Affairs studies or publications.Development of a Statistical Analysis Plan for standard study and/or project delivery.Application of modelling and simulation to inform study design, assess robustness of results etc.Analysis of internal and external information to inform design decisions and the development of decision criteria.Statistical support to standard study design and interpretation.Under guidance of an experienced statistician provides.
Technical statistical projects can also be addressed. Common activities include study-level support, including set-up, conduct, analysis and reporting. The Statistician has necessary academic qualifications but limited experience working as a statistician in the pharmaceutical industry, and therefore most work will be supervised by a more experienced statistician.
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