Director, AI Clinical Operations & Regulatory
Edwards Lifesciences
- Location
- USA - California – Irvine
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 24 approvals (FY2023)
- Posted
- Sep 17, 2026
Skills
About this role
Innovation starts from the heart. Our Advanced Innovation & Technology (AI&T) teams harness the imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future. If you’re an early-stage innovator, then Edwards AI&T team is the place for you to take the next steps in your career. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology. How you will make an impact: This role will play a pivotal role in leading AI-enabled transformation across Edwards' clinical development and regulatory operations, with initial emphasis on trial acceleration, clinical safety workflows, and submission automation. It does not replace the accountable Clinical Affairs, Safety, Biometrics, or Regulatory functions. It shapes the transformation agenda, co-owns measurable cycle-time and quality outcomes with those leaders, and mobilizes product, data, engineering, and change capabilities to deliver them.
Key Responsibilities
Lead AI-enabled transformation for trial acceleration, including protocol and statistical analysis plan drafting, EMR-to-CRF integration, monitoring and alerting, enrollment intelligence, and operating-model redesign Own AI for clinical safety operations, including adverse event extraction and adjudication, signal detection, and safety committee packet generation Lead AI-enabled regulatory operations transformation, including submission section drafting, evidence packaging, review workflows, and adoption controls Validate and reconcile existing vendor and platform investments across clinical systems Co-sign cycle-time commitments with Clinical Affairs, Biometrics, and Regulatory leadership Work with Medical, Clinical & Regulatory teams for protocol and trial design Other incidental duties What you'll need (Required): Bachelor's Degree in related discipline, with 12 years of experience in clinical development operations, data management, biometrics, or regulatory operations, or equivalent leadership at a clinical technology vendor or CRO -OR- Master’s, PhD, or other advanced degree with 10 years of experience in clinical development operations, data management, biometrics, or regulatory operations, or equivalent leadership at a clinical technology vendor or CRO A record of redesigning clinical or regulatory workflows and achieving measurable adoption, cycle-time, quality, or productivity improvements Direct, personal experience closing a database lock and supporting at least one FDA regulatory submission Experience with AI-driven pharmacovigilance case processing and signal detection, gained at a biopharma company, CRO, or safety-technology vendor: this discipline is materially more mature in biopharma than in medtech, and that experience transfers directly What else we look for (Preferred): Other: Certification in related field Building and defending a benefits case under Finance-level scrutiny Negotiating and co-signing commitments directly with senior Clinical Affairs and Regulatory leadership across multiple therapy areas Working fluency with major CTMS and clinical data platforms (Medidata Rave, Veeva Vault CTMS, or equivalent) and Good Clinical Practice (GCP) requirements Familiarity with natural-language and document-automation tooling applied to protocols, statistical analysis plans, or safety narratives Direct exposure to AI-enabled pharmacovigilance platforms (Oracle Argus Safety, ArisGlobal LifeSphere, or Veeva Vault Safety) and their AI-driven case intake, MedDRA coding, and signal-scoring capabilities Familiarity with AI-driven patient recruitment and site-selection approaches from biopharma trial operations: NLP-based EHR mining for eligibility screening, digital biomarkers and wearable data for continuous safety monitoring, and in silico trial simulation for protocol feasibility testing Working knowledge of ICH E6(R3) and its implications for