Director of AI

Summary: The Director of AI is a senior leadership role responsible for the strategic development and implementation of artificial intelligence and machine learning solutions across the organization. This role focuses on scaling AI capabilities to drive innovation in areas such as drug discovery, clinical trial optimization, and patient analytics. You will be responsible for building a high-performing AI organization that balances cutting-edge research with the practical, compliant delivery of production-ready models.

Key Requirements:

• Extensive professional experience within the Life Science industry, with a deep understanding of the regulatory requirements for AI/ML validation, GxP compliance, and ethical data usage in a clinical context.

• Minimum of 10 years of experience in IT and Data Science leadership, with a proven track record of successfully directing AI initiatives from research/POC to enterprise-wide deployment.

• Strong technical authority in machine learning architectures, deep learning, and the infrastructure required to support large-scale AI operations (MLOps).

• Demonstrated experience in managing global, cross-functional teams and the ability to influence senior executive stakeholders on AI investment and adoption.

• Mastery of the English language, with the ability to communicate complex AI strategies and outcomes to both scientific experts and business leadership.

Main Responsibilities:

• Lead the global AI strategy, ensuring that all initiatives are aligned with the organization’s scientific mission and long-term business goals.

• Direct the design and deployment of AI-driven platforms that enhance R&D efficiency, shorten clinical trial timelines, and improve decision-making accuracy.

• Oversee the AI governance framework, ensuring all models meet rigorous standards for transparency, explainability, and regulatory audit-readiness.

• Partner with the Director of Data and other IT leaders to ensure a seamless integration of AI models into the broader enterprise data ecosystem.

• Act as a primary thought leader for AI within the company, staying ahead of industry trends and fostering a culture of innovation and continuous learning.