Senior Director, AI & Clinical Science

Location: Hybrid, New York

Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week following Company policy.

About our Company:

Medidata is powering smarter treatments and healthier people through digital solutions to support clinical trials. Celebrating over 25 years of ground-breaking technological innovation across more than 38,000 trials and 12 million patients, Medidata offers industry-leading expertise, analytics-powered insights, and one of the largest clinical trial data sets in the industry. More than 1 million registered users across approximately 2,300 customers trust Medidata’s seamless, end-to-end platform to improve patient experiences, accelerate clinical breakthroughs, and bring therapies to market faster. A Dassault Systèmes brand (Euronext Paris: FR0014003TT8, DSY.PA), Medidata is headquartered in New York City and has been recognized as a Leader by Everest Group and IDC. Discover more at www.medidata.com. Listen to our latest podcast, from Dreamers to Disruptors, and follow us at @Medidata.

About the Team: At Medidata, we believe the future of clinical development will be powered by intelligent systems that amplify human expertise, accelerate innovation, and help bring life-changing therapies to patients faster. We are seeking a Senior Director of AI & Data Science to help shape that future by creating AI solutions that transform how clinical trials are designed, conducted, and optimized.

This is a rare opportunity to lead at the forefront of AI-native clinical research, solving complex scientific challenges while leveraging one of the industry’s richest clinical data ecosystems. You will remain hands-on in tackling high-impact technical problems, applying the latest advances in AI - including large language models, agentic AI, machine learning, and modern data platforms - to deliver intelligent solutions that accelerate every stage of the clinical trial lifecycle, from protocol design and trial simulation to study execution, monitoring, and clinical insights.

As a player-coach, AI architect, and technical leader, you will define the technical vision and architecture for next-generation AI and machine learning systems for clinical trials while leading a world-class team of data scientists, machine learning engineers, and applied AI researchers.

You will foster a culture of technical excellence, rapid innovation, and customer value-centric product development, translating cutting-edge AI capabilities into trusted, scalable solutions used by the world’s leading pharmaceutical and biotech companies.

Operating at the intersection of AI, clinical science, product innovation, and software engineering, you will partner closely with leaders across Product, Engineering, Data, and Delivery to build AI capabilities that automate complex workflows, generate actionable insights from clinical data, and enable faster, smarter decisions across clinical development. Your work will directly influence how new therapies are brought to patients - more efficiently, with higher quality, and at greater scale.

Responsibilities: Lead the Next Generation of AI for Clinical Development

• Define the technical vision, architecture, and roadmap for next-generation AI and machine learning capabilities that transform how clinical trials are designed, conducted, and optimized.
• Design and deliver intelligent AI solutions spanning the clinical trial lifecycle, including protocol intelligence, trial simulation, patient and site intelligence, clinical data quality, study execution, operational optimization, and AI-powered decision support.
• Apply state-of-the-art AI technologies—including Large and Small Language Models (LLMs/SLMs), Retrieval-Augmented Generation (RAG), agentic AI and multi-agent systems, generative AI, predictive modeling, causal inference, synthetic data generation, and virtual twins - to solve complex clinical and operational challenges.
• Translate scientific, clinical, and business problems into scalable AI architectures and production-ready solutions that deliver measurable value for customers and patients.

Deliver Enterprise-Scale AI Products

• Own the end-to-end AI lifecycle - from opportunity discovery and data strategy through model development, evaluation, deployment, monitoring, and continuous improvement.
• Drive AI solu…