Director, AI Engineering (Global Development)

About the role

The Director, AI Engineering will play a key role in developing platforms, processes, and technologies across Global Development (GD) to incorporate AI, machine learning, and automation. The goal is to reduce cycle times, improve quality, and enable the team to focus on more meaningful work.

Responsibilities

• Provide strategic direction and technical leadership to an eventual team of engineers to design, implement, and refine novel algorithms and scalable AI /ML solutions tailored to applications such as clinical trial design, regulatory intelligence, patient identification and stratification.
• Oversee the deployment of these solutions into production environments, employing hands-on technical expertise to ensure excellence in execution.
• Architect and refine data engineering and data architecture strategies to integrate and optimize diverse data sources.
• Partner with the Digital Transformation AI lead and leaders across Global Development to evaluate and implement use cases for implementing AI in the enterprise, including automating manual processes such as protocol review, monitoring, and adverse event review.
• Provide strategic leadership to initiatives with Global Development IT and enterprise IT to build infrastructure (software and hardware) to support advanced analytics, including vendor evaluation.
• Collaborate with senior leaders to identify high-value opportunities for AI/ML integration and lead the execution of innovative solutions that address critical business challenges.
• Empower colleagues to leverage AI/ML effectively by providing guidance that bridges technical expertise with strategic insights, fostering a culture of innovation and continuous learning.
• Establish robust validation frameworks for AI models, ensuring reliability and efficiency.
• Stay at the forefront of AI/ML advancements, evaluating emerging technologies and methodologies for potential adoption within Regeneron.
• Lead initiatives to continuously improve the organization's AI capabilities, fostering a competitive edge.

Requirements

• PhD in Computer Science, Data Science, AI/ML, Engineering, or related field with 10-12 years of experience, or a Master’s degree with 12-15 years of experience in AI/ML or software engineering.
• A deep understanding of generative AI, machine learning, natural language processing, and statistical modeling.
• Expertise in programming (Python, R, etc.), with a focus on applying advanced technical skills to data analysis, automation, and software development.
• Experience managing and analyzing large-scale clinical datasets.
• Excellent communication skills, including experience presenting to senior leadership, both technical and non-technical.
• Experience managing multiple projects in parallel.
• Experience working in and managing cross-functional teams.
• Track record of model development, implementation to scale, maintenance, and evaluation in a healthcare of life sciences setting.

Qualifications

• May require travel up to 20%.