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An established industry player is seeking a skilled statistical programmer to support late-stage drug and vaccine development. This role involves leading programming efforts, ensuring compliance with regulatory standards, and collaborating with global teams to deliver high-quality analysis and reporting. The ideal candidate will have significant SAS programming experience, a strong understanding of clinical trial methodologies, and the ability to manage project plans effectively. Join a dynamic team where your contributions will directly impact global health and patient outcomes. If you are passionate about statistical programming and looking to make a difference, this opportunity is for you.
Job Description
In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our company's renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
This position supports statistical programming activities for late stage drug/vaccine clinical development projects. This may include leadership of one or more projects. Accountability predominantly includes the development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures), the span of which range from individual clinical trials to world-wide regulatory application submissions and post marketing support.
The incumbent is responsible for the design and maintenance of statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation. The position is a key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables. For assigned projects the position serves as the statistical programming point of contact and knowledge holder through the entire product lifecycle.
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