Senior Research Statistician - Statistical Innovation (Hybrid)

Role: Senior Research Statistician in Statistical Innovation, providing leadership in designing innovative clinical trials and developing advanced statistical and machine learning models to enhance drug development processes. Responsibilities: evaluate, introduce, and educate on novel statistical approaches (e.g., adaptive designs, Bayesian methods), investigate complex designs using modeling and simulation, develop and operationalize statistical tools (using R, Python, etc.), and promote industry influence through publications and presentations. Qualifications: PhD in Statistics or Biostatistics; extensive expertise in statistical modeling, advanced computing, and simulation; proficiency in SAS, R, and potentially specialized software; strong collaboration, communication, and leadership skills. Preferred: experience in pharmaceutical development and applied statistics, familiarity with additional statistical software (FACTS, EAST). HighValue: focus on statistical innovation within clinical development, advanced methodologies, and modeling; relevant to biopharma research and regulatory support. WorkSetup: not specified, but implies an office-based or hybrid environment supporting collaboration.