Senior Manager, Gobal Development AI Engineer

Role Summary

Senior Manager, Global Development AI Engineer responsible for leading AI/ML initiatives within Global Development. Collaborates with engineers, scientists, and cross-functional stakeholders to design platforms, processes, and technologies that integrate AI across operations. Applies data engineering, model development, and deployment to production, with potential focus on healthcare or life sciences contexts.

Responsibilities

• Implement, and refine novel algorithms and scalable AI/ML solutions tailored to GD applications such as clinical trial design, regulatory intelligence, patient identification and stratification, etc. Deploy these solutions to production environments as appropriate. Implementation includes hands-on development and coding.
• Develop, implement, and improve data architecture and engineering approaches for diverse data sources across GD
• Contribute to initiatives with GDIT and enterprise IT to build the necessary infrastructure (software and hardware) to support advanced analytics
• Collaborate with GD colleagues to help them approach AI/ML more effectively
• Establish rigorous validation frameworks for AI models and monitor existing models for accuracy and efficiency
• Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption at Regeneron

Qualifications

• Deep understanding of generative AI, machine learning, natural language processing, and statistical modeling
• Deep expertise in programming (Python, R, etc.), with a focus on applying advanced technical skills to data analysis, pipeline creation, automation, and software development
• Expertise in database platforms and cloud computing infrastructure
• Track record of model development, implementation to scale, maintenance, and evaluation in a healthcare or life sciences setting
• Experience managing and analyzing large-scale clinical datasets
• Excellent communication skills, both technical and non-technical
• Experience managing multiple projects
• Experience working in cross-functional teams
• May require travel up to 20%