Must Have TechnicalFunctional 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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