| Job Description: |
Must Have Technical/Functional Skills
• Strong background in synthetic data, data engineering, simulation, or healthcare data environments.
• Ability to translate quality goals into practical test environments and reusable validation assets.
• Familiarity with regulated healthcare data constraints and enterprise data governance considerations.
• Comfort working in a highly collaborative and evolving greenfield environment.
Roles & Responsibilities
• Build the synthetic data sub-function within the quality engineering organization.
• Design a clinical synthetic data harness capable of supporting a “hospital twin” or simulated hospital environment for AI solution testing.
• Work with partners to bring Digital-twin and synthetic data generation capabilities that can be leveraged across programs and products.
• Create realistic and privacy-conscious test environments that allow AI teams to evaluate solutions safely before broader adoption.
• Collaborate with QA, engineering, and architecture teams to align simulation capabilities with AI use cases and maturity needs.
• Support iterative refinement of the framework through controlled test environments and high-fidelity synthetic data assets.
Role Descriptions: Synthetic Data Transformation leader
Skills: Life Sciences : BioStats Data Transformation and Standards Management
Experience Required: 10 & Above
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