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An established industry player is seeking a Senior Statistician to leverage their statistical expertise in clinical trials. This role involves designing and analyzing studies, utilizing advanced statistical methods, and collaborating with multidisciplinary teams. The ideal candidate will have a strong foundation in Bayesian methods and R programming, contributing to the development of statistical strategies and ensuring high-quality deliverables. Join a forward-thinking organization where your analytical skills will directly impact the success of clinical research projects.
Technical Expertise, Scientific Leadership and Strategy
Ability to perform the Study Statistician role with minimal supervision. Demonstrates strong statistical expertise with a good understanding of complex design of experiments and inference methodologies. Knowledge of Bayesian methods, Futility & Predictive Inference, Estimands, Missing Data, etc., is preferred.
Participates actively in matrix team meetings as required. Supports the design, analysis, and interpretation of studies, utilizing a wide range of statistical approaches and software to explore options. Authors analysis plans and prepares statistical inputs for key documents and presentations.
Contributes to the development of statistical strategies at the study level, which may be shared with stakeholders.
Anticipates potential problems related to assigned work or expertise areas and implements solutions proactively, seeking input from supervisors or managers as needed.
Applies standard processes to ensure deliverables are accurate, high quality, and meet timelines. Has extensive working knowledge of GxP, ICH guidelines, internal GSK processes, and external regulations where applicable. Conducts quality control of work produced by others under supervision.
Effectively communicates both orally and in writing, explaining technical approaches to non-technical colleagues and incorporating feedback to produce high-quality deliverables.
Works collaboratively within multidisciplinary teams under supervision.