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Salary: EUR 100,000 - 160,000 / annual
Veeva Systems, a mission-driven industry cloud pioneer in life sciences, is seeking an experienced pharmacovigilance professional to serve as Senior Safety Domain Expert for Veeva Falcon. This role bridges hands-on case processing execution with strategic vision for the future of PV Operations, directly shaping next-generation AI and automation tools.
You will collaborate with internal technical teams and external early adopters, acting as the definitive "Voice of the Customer" to ensure the platform delivers flawless safety automation. Your responsibilities include:
• End-to-End Workflow Guidance: Advise product and engineering teams on detailed steps of safety case intake, triage, validation, and advanced data reconciliation workflows
• AI Calibration & Verification: Actively review, evaluate, and verify AI-driven platform outputs across case intake and processing steps to ensure maximum precision, accuracy, and safety compliance
• Strategic PV Ops Vision: Translate macro industry trends and operational shifts in PV into actionable platform capabilities and long-term automation strategies
• Early Adopter Engagement: Interact directly with PV leads and processing specialists at early adopter organizations, translating their feedback into actionable platform enhancements
• Stress-Test Scenario Building: Map out highly complex, multi-variable safety case scenarios to rigorously evaluate and calibrate the platform's reasoning boundaries
Veeva is a public benefit corporation (PBC) and one of the fastest-growing SaaS companies in history, surpassing $3B in revenue. The company operates as a Work Anywhere organization, supporting flexibility to work from home or in the office.
REQUIREMENTS:
• 5+ years of active experience in Pharmacovigilance / Drug Safety Operations
• Deep tactical understanding of day-to-day case processing workflows, intake, validation criteria, database reconciliation, and global expedited reporting timelines
• Strategic PV Operations expertise with a clear vision of how PV operating models are evolving toward automation and digital transformation
• Demonstrated AI experience, including active involvement with AI-driven software, automated workflow tools, agentic AI, or machine learning applications in pharmacovigilance or life sciences
• Strong ability to bridge PV operational knowledge with technical product teams and present confidently to executive customers
NICE TO HAVE:
• Prior experience contributing to the design, implementation, or user-acceptance testing (UAT) of automated pharmacovigilance intake solutions
