Associate Director, Statistics (Hybrid)

Role Summary

Associate Director, Statistics (Hybrid) at AbbVie. Hybrid on-site position, local to Lake County, IL or Florham Park, NJ. Responsible for providing statistical expertise and leadership within MAHTA Statistics to support drug development, lifecycle management, HTA submissions, and cross-functional collaboration with Medical Affairs, MHI, iMAP, and other functions.

Responsibilities

• Provide scientific and statistical expertise for drug development and lifecycle management strategies; design, analysis, and reporting of clinical and scientific research programs; generate evidence to support medical affairs strategies; interact with regulatory agencies, the medical community, and KOLs.
• Direct the development of scientific protocols ensuring scientific soundness, alignment with product strategy, and regulatory requirements; ensure appropriate statistical methodology.
• Demonstrate deep statistical understanding; lead the introduction of novel methodological approaches; explain statistical concepts to non-statisticians.
• Review technical or data-related issues in study design, conduct, or analysis; independently select and implement alternative analysis strategies; evaluate software and potential need for novel methods.
• Maintain and expand technical skills; present statistical research at meetings; uphold Statistics department standards, GxP compliance, and best practices.
• Collaborate with MHI, Clinical Statistics, Data Sciences, and others to evaluate databases, conduct feasibility analyses, and develop detailed analysis plans for evidence generation to drive decisions.
• Evaluate alternatives to traditional RCTs using real-world data sources.
• Play a key role in cross-functional teams; ensure study results are scientifically sound and clearly presented; deliver timely, high-quality statistical outputs; assist or represent MAHTA Statistics in management/product review meetings; review reports/publications for statistical accuracy.
• Support/lead HTA submissions for reimbursement and lifecycle planning; develop protocols and SAs to address evidence gaps.

Qualifications

• MS with at least 10 years of experience or PhD with at least 6 years in Statistics, Biostatistics, or a closely related field.
• Strong technical competence and excellent oral and written communication skills.
• Experience in experimental and RWE study design, descriptive and inferential statistics, modeling, and statistical programming; knowledge of confounding control and bias minimization in observational studies.
• Ability to identify analytical issues and provide solutions; ability to build strong cross-functional relationships; motivated to drive innovation.
• Willingness to learn and adapt; proactive and self-starting with a collaborative mindset.
• Demonstrated leadership in managing a programming group; experience with cross-cultural or overseas teams.
• Pharmaceutical or related industry experience in regulated drug development and lifecycle management.
• Ability to learn quickly and adapt methodologies as needed.