Manager, Statistics

Company Description

About Abb Vie

Abb Vie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.

The Manager, Statistics provides statistical expertise to support the research and development organization. Specific areas of work may include clinical trials, patient safety, and global medical affairs. The Manager works independently in partnership with experts in multiple disciplines to advance medicines to our patients.

• Provide expertisetodesign, analysis and reporting of clinical trials or other scientific research studies. Independently develop protocols and/or statistical analysis plans (or product safety analysis plans/integrated summary of safety analysis plans/analysis plans for GMA evidence generation) with details for programming implementation. Implement sound statistical methodology in scientific investigations.
• Identify scientifically appropriate data collection instruments. Identify and report data issues or violations of study assumptions. Provide programming specifications for derived variables and analysis datasets. Partner with Data Science in preparing for database lock.
• Independently perform statistical analyses as per the analysis plan. Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according toagreed-upon timelines. Identify and anticipate issues arising in the study design, conduct and propose scientifically sound approaches. Evaluate appropriateness of available software for planned analyses and assess needs for potential development of novel statistical methodology.
• Develop strategy for data presentation and inference. Collaborate in publication of scientific research. Ensure accuracy and internal consistency of reports and publications, including tables, listings, and figures. Ensure that study results and conclusions are scientifically sound, clearly presented, and consistent with statistical analyses provided.
• Work collaboratively with multifunction teams. Clearly explain statistical concepts to non-statisticians. Provide responses to questions, and pursue analyses suggested by data. Support communications between assigned product team(s) and functional management. Build/drive cross-functional relationships and collaboration.
• (PULSE check) Lead the development, validation, documentation, and lifecycle maintenance of reusable statistical analysis codes, analysis templates, benchmark test sets, and quality-control assets, applying reproducible programming practices with attention to version control, traceability, cross-study reusability, and applicable
  
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• (PULSE check) Design and deliver AI-enabled analytical workflows, including workflow architecture, tool-use or retrieval components, evaluation of model outputs, human-in-the-loop review, testing, and safeguards that preserve scientific rigor, interpretability, and reproducibility in a regulated environment.
• (PULSE check) Act as a technical lead partnering with cross-functional stakeholders and external collaborators to translate end-user requirements into maintainable, production-grade solutions; drive adoption through interactive interfaces (e.g., R/Shiny), technical documentation, training materials, and knowledge transfer.

• MS (with 6+ years of experience) or PhD (with 2+ years of experience) in Statistics, Biostatistics, or a highly related field.
• High degree of technical competence and effective communication skills, both oral and written
• Able to perform statistical computations and simulations
• Able to identify data or analytical issues, and assist with providing solutions by either applying own skills and knowledge or seeking help from others
• Able to build strong relationship with peers and cross-functional partners to achieve higher performance. Highly motivated to drive innovation by raising the bar and challenging the status quo
• Pharmaceutical or related industry knowledge desired, including experience and understanding of drug development and life-cycle management in the regulated environment.
• (PULSE check) Advanced programming…