Director, Statistics - Statistical Innovation (Office-based)

Role Summary

Director, Statistics - Statistical Innovation (Office-based) leads scientific and statistical direction within AbbVie's Statistical Innovation team, guiding or collaborating on clinical development and Data Statistical Sciences initiatives using advanced methodologies, predictive modeling, and machine learning. The role supports design optimization, methodological innovation, and external scientific impact, with a hybrid work schedule from North Chicago, IL, Florham Park, NJ, or Irvine, CA offices.

Responsibilities

• Lead and drive modeling and simulation capabilities in AbbVie statistical innovation group
• Leverage state-of-the-art modeling and simulation techniques to propose, evaluate and optimize clinical trial designs in terms of time, cost and probability of success
• Collaborate with study teams and other functions to evaluate population feasibility, IC/EC impact, patient diversity and other operational insights at the design stage
• Collaborate with study teams and other functions to evaluate state-of-the-art scientific statistical designs using modeling and simulation
• Collaborate with Clinical Pharmacology on QSP and MIDD related activities
• Build and maintain external reputation and influences in the industry with presentations, invited talks and peer-reviewed publications

Qualifications

• Ph.D in statistics, biostatistics or related fields with at least 10 years of related work experience
• Excellent oral and written communication skills
• Excellent leadership skills
• Proven ability to collaborate and consult with discipline experts and leaders within and across functions
• Passionate about modeling and simulation, innovation, always thinks out of the box and is never satisfied with the status quo
• Strong publication records highly desired
• Demonstrated expertise and experience in advanced statistical modeling and simulation
• Proficiency in development, implementation and rollout of statistical tools and techniques using R, R-shiny, Python, Julia etc. to operationalize key innovative methodologies
• Hybrid work schedule from North Chicago, IL, Florham Park, NJ or Irvine, CA offices

Skills

• Strategic scientific leadership
• Advanced statistical modeling and simulation
• Cross-functional collaboration and consultation
• Effective communication of complex concepts to diverse audiences
• Proficiency with R, R-shiny, Python, Julia (and related tools)
• Publication and presentation at scientific venues

Education

• Ph.D in statistics, biostatistics or related fields