Director, Statistics - Statistical Innovation (Office-based)

Role Summary

Director, Statistical Innovation provides scientific and statistical leadership to lead or collaborate on clinical development and Data Statistical Sciences (DSS) initiatives and projects, especially those using advanced statistical methodology, advanced predictive modeling and Machine Learning (ML). The role focuses on leading modeling and simulation capabilities and partnering with cross-functional teams to optimize trial designs and operational insights.

Responsibilities

• Lead and drive modeling and simulation capabilities in AbbVie's 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 proactively evaluate population feasibility, IC/EC impact, patient diversity and other operational insights at the design stage
• Collaborate with study teams and other functions to proactively evaluate state-of-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

• Required: Ph. D in statistics, biostatistics or related fields with at least 10 years of related work experience
• Required: Excellent oral and written communication skills
• Required: Excellent leadership skills
• Required: Proven ability to collaborate and consult with discipline experts and leaders within and across functions
• Required: Passion for modeling and simulation, innovation, and the ability to think creatively and challenge the status quo
• Preferred: Strong publication records
• Preferred: Demonstrated expertise and experience in advanced statistical modeling and simulation
• Preferred: Proficiency in development, implementation and rollout of statistical tools and techniques using R, R-shiny, Python, Julia, etc. to operationalize key innovative methodologies
• Note: Hybrid work schedule from North Chicago, IL, Florham Park, NJ or Irvine, CA offices

Skills

• Advanced statistical modeling and simulation
• Proficiency with R, R-shiny, Python, Julia or equivalent tools
• Cross-functional collaboration and effective communication

Additional Requirements

• Significant Work Activities: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hr day) is required