Vaithi Bharath

Associate Director of Data Science & AI Solutions at Bayer who focuses on accelerating clinical R&D by reducing system and process delays, validation-aware AI workflows, and improving data lineage and auditability.

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Jan 7, 2026 • 38min

Reducing R&D Cycle Time in Pharma Without Increasing Regulatory Risk - with Vaithi Bharath of Bayer

In this discussion, Vaithi Bharath, Associate Director of Data Science & AI Solutions at Bayer, shares insights on streamlining clinical R&D processes in the pharmaceutical industry. He highlights how fragmented systems cause delays that impact timelines, reveals the complexities of regulatory validation, and introduces AI-guided workflows to improve compliance. Vaithi discusses the benefits of reusable macros and the advantages of building workflow layers over existing systems, all aimed at accelerating drug development while ensuring regulatory safeguards are met.

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