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 and implement novel statistical methodologies (e.g., adaptive designs, Bayesian methods, predictive modeling), develop and operationalize statistical/AI tools using R, Python, Julia, and other software, and contribute to scientific knowledge through publications and industry engagement. Qualifications: PhD in Statistics, Biostatistics, or related field; proven expertise in statistical modeling, simulation, and advanced computing (SAS, R); experience in pharmaceutical development and applied statistics preferred. HighValue: expertise in innovative trial designs, statistical modeling, machine learning, and simulation; focus on drug development, potentially within immunology, oncology, or neuroscience. Collaboration: work with cross-functional teams and external stakeholders; influence industry through presentations. WorkSetup: not specified; emphasis on technical innovation in clinical development.