Executive Director, Global Development Artificial Intelligence

Role Summary

This position is on-site 4 days per week and 1 day from home in Tarrytown, NY, Warren, NJ or Armonk, NY. A fully remote role is not possible for this position.

This role will be responsible for designing and implementing Regeneron Global Development’s (GD) artificial intelligence (AI) program -- a key component of GD’s digital transformation strategy. Implementing concrete initiatives, from more intelligent protocol design to automated document generation and analysis, the Exec Dir will make the best use of our resources to improve cycle times and deliver medicines to patients faster. The position will be responsible for both strategy and technical development; therefore, a significant amount of technical work will be involved in making it successful.

Responsibilities

• Lead AI/Machine Learning Strategy and Implementation. Define and execute Global Development’s AI/ML strategy, ensuring alignment with business goals, overall company strategy, and R&D priorities. This involves identifying opportunities for AI adoption and related automation, creating roadmaps, and overseeing the development and deployment of AI solutions.
• Co-lead GD’s digital transformation strategy
• Partner with Clinical Development Unit leaders to help implement AI and automation
• Partner with leaders across Global Development and senior leaders across Regeneron to develop and execute on use cases involving AI and advanced analytics
• Develop advanced analytic platforms incorporating AI, ML, and/or advanced visualization techniques
• Lead a team of scientists and developers in developing and implementing specific AI-based tools and processes
• Drive data and platform strategy across Global Development by providing critical feedback on robust data organization, governance, and accessibility frameworks that support high-quality, analysis-ready data. Integrate this strategy with those across other business units (e.g. Commercial, Research, etc.)
• As necessary, lead initiatives to build the required infrastructure (software and hardware) to support AI and advanced analytics, including vendor evaluation, in partnership with IT
• Proactively develop new techniques and algorithms to address high-impact areas and that may lead to academic publications
• Design and execute AI verification frameworks to assess assumptions and limitations; ensure transparency, reproducibility, and regulatory readiness; maintain the ethical and responsible use of AI; and ensure alignment with scientific and operational decision-makers
• Represent Global Development while working with other business units and IT to coordinate an enterprise AI strategy, including potential enterprise-wide platforms, adding or reconfiguring necessary roles, etc.
• Co-lead enterprise AI governance initiatives, working with enterprise IT, privacy, compliance, and other key stakeholders
• Mentor GD colleagues to refine their AI and analytic skills including promoting continuous learning and fostering skills to prepare colleagues to work with and leverage the potential of AI

Qualifications

• Preferred: A PhD and 12+ years of experience, OR MS or MBA: 15+ years of experience can be considered, or Bachelor's degree and 17+ years of experience.
• At least 7 years experience developing and leading the implementation of AI-related tools and strategy, including accountability for the success of the implementation, in life sciences or healthcare.
• Familiarity with Python, R, or another programming language
• Proven track-record of building, scaling, and maintaining computational, AI-based solutions, ideally on cloud-based platforms such as AWS
• As part of a senior leadership team, experience implementing an evaluating enterprise-wide AI or automation projects with demonstrated outcomes
• Experience with critical evaluation of model performance and generalizability
• 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 implementing production-level LLMs in a clinical or life sciences setting is a preferred
• Experience presenting to and educating senior leadership around foundational technology investments and applied technology go/no-go decisions, especially with non-technical audiences
• Proven ability to work in a matrixed organization, developing and leading complex projects with multiple stakeholders while developing a network of subject matter experts
• A track record of peer-reviewed or validated accomplishments, e.g. scholarly publications or published tools and code

Education

• An advanced degree in computer science, medicine, biomedical informatics, or a related field

Additional Requirements

• May require travel up to 20%