Principal Scientist, Biostatistics

• Provide input to the design and execution of studies and experiments for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences programs
• Support statistical analysis, interpretation, reporting, and communication of data evidence
• Collaborate with Quantitative Sciences & Clinical Pharmacology and other drug development scientists
• Support statistical aspects of business and regulatory commitments
• Contribute to program plans and represent Statistics & Decision Sciences in teams and working groups
• Apply advanced data analytics and high-quality statistical methodologies
• Optimize study designs, conduct scenario simulations, and perform sample size calculations
• Identify and implement advanced statistical techniques for complex projects
• Provide leadership and guidance on study and trial design
• Collaborate cross-functionally to identify and resolve issues
• Participate in process improvement and standards development
• Build partnerships with internal colleagues, CROs, consultants, and other external partners
• Deliver high-quality, timely outputs to project teams, clinical trial teams, and the Statistics Area Head
• Track external scientific and statistical trends and advance methodologies through scholarly publications
• Participate in interactions with health authorities

• Minimum Master's degree with 6+ years of relevant experience, or PhD with 4+ years of relevant experience
• Proficiency in SAS, R programming, or other relevant computational tools such as East Horizon, RPACT, FACTS, or Python
• Full proficiency in R and SAS
• Familiarity with innovative data-adaptive methods and artificial intelligence
• Excellent interpersonal, verbal, and written communication skills
• Demonstrated ability to work in interdisciplinary contexts outside statistics

Demonstrates expertise in statistical analysis, advanced data analytics, and study design within clinical development and regulatory environments. Proficient in SAS and R programming, with a strong ability to collaborate cross-functionally and communicate complex data insights effectively.

• Statistical Analysis
• SAS Programming
• R Programming
• Study Design Optimization
• Interdisciplinary Collaboration

• Statistical Methodologies
• Data Analytics
• Sample Size Calculations
• Scenario Simulations
• Advanced Statistical Techniques

• Interpersonal Communication
• Verbal Communication
• Written Communication

• Clinical Development
• Medical Affairs
• Regulatory Commitments
• Process Improvement
• Health Authorities

• SAS
• R
• East Horizon
• RPACT
• FACTS
• Python