Senior Manager, Gobal Development AI Engineer

Regeneron Pharmaceuticals • Warren, MI

12d

About The Position

Global Development (GD) is embarking on a digital transformation project that will incorporate AI, machine learning, and automation into our processes to help us reduce cycle times, improve quality, and allow us to focus on more meaningful work. This position will play a key role in developing the platforms, processes and technologies that will incorporate AI effectively across GD. The AI engineer will work with a team of engineers and scientists to help bring transformative change to GD. The role will encompass a wide range of AI/ML-related activities, from data engineering and technical development to optimizing vendor systems for use at Regeneron to mentoring colleagues in best practices for adopting and AI in their everyday workflows. Development will not necessarily be limited to the use of generative AI, but may also include technical implementation of machine learning models, natural language processing, and other approaches. The engineer will work with stakeholders across GD and Regeneron (e.g. enterprise IT, commercial, research, etc.) to develop solutions and architectures that not only address GD’s needs but also integrate into the overall corporate strategy. As a Senior Manager, a typical day may include: 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

Requirements

• 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 of 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%

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

Benefits

• comprehensive benefits, which vary by location
• health and wellness programs (including medical, dental, vision, life, and disability insurance)
• fitness centers
• 401(k) company match
• family support benefits
• equity awards
• annual bonuses
• paid time off
• paid leaves (e.g., military and parental leave)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees