Senior Manager, Advanced Informatics

Role Summary

Senior Manager, Advanced Informatics at Regeneron. Leads the digital transformation to integrate AI, machine learning, and automation within Global Development, aligning clinical operations with technology to maximize value from data resources and develop AI/ML-based solutions. Analyzes data, communicates results, and implements data-driven changes, bridging science and technology across Regeneron.

Responsibilities

• Help develop and implement the clinical informatics strategy to optimize Global Development’s data resources for AI/ML and advanced analytics
• Provide strategic and operational guidance to data engineers and architects, including technical and application development related to GD data resources
• Collaborate with teams across GD to identify clinical informatics use cases and implement solutions
• Organize and analyze diverse clinical data sets to solve specific GD-related questions and identify opportunities to increase efficiencies
• Scale AI/ML and informatics projects to the enterprise level with cross-functional teams
• Work with external data partners to optimize data standards for ingestion and exchange
• Work effectively between technical and non-technical groups in Development and across Regeneron to bridge science and technology and implement a comprehensive data strategy
• Evaluate tools and platforms and contribute to build vs. buy decisions
• Inform and educate colleagues across GD regarding clinical informatics

Qualifications

• Required: Proven track-record of developing and scaling advanced analytic solutions and programs in a healthcare or life sciences organization
• Preferred: formal training in biomedical informatics or the equivalent experience
• Demonstrated experience working with large-scale, complex datasets, particularly in the regulated healthcare or clinical trial setting; understanding of clinical data standards is preferred. Experience with electronic health record (EHR) data is also preferred
• Demonstrated experience architecting and building analytic pipelines, including those focused on data quality
• Deep knowledge of AI/ML-based analytic approaches and strategies, including experience programming in Python, R or other equivalent
• Experience leading multi-disciplinary teams including partnering with local or enterprise IT organizations
• Strong analytical and communication skills
• May require travel up to 20%

Skills

• Strategic and operational leadership
• Data analysis and interpretation
• AI/ML methodologies and tooling
• Data governance and standards
• Cross-functional collaboration
• Communication of complex technical concepts to non-technical audiences

Education

• Formal training in biomedical informatics or equivalent experience (preferred)

Additional Requirements

• May require travel up to 20%