Healthcare QA Engineer (Embedded QA)

Job title: Healthcare QA Engineer (Embedded QA)

About the Role Light-it is seeking a Healthcare QA Engineer focused on embedded QA for healthcare software. The role centers on validating PHI handling, patient safety, multi-role permissions, and audit-ready evidence, with QA integrated into the product team from day zero.

What You'll Do

• Embed QA inside a Light-it product team, from discovery through maintenance; participate in discovery, define risk-based release criteria, and continuously validate patient, clinician, and admin workflows.
• Test web UI, cloud apps, mobile, API, and data-flow verification; coverage focuses on product/workflow validation, integrations/interoperability, and data/security/permissions; contribute to risk-based regression design and release-readiness reporting.
• Create audit-ready evidence such as release-readiness reports, risk dashboards, regression scope definitions, role-and-permission verification logs, and root-cause analyses to support defensible release decisions.
• Validate PHI handling, RBAC, and authorization behavior across systems and environments; ensure separation between production and test environments; use masked or synthetic data for testing.

What We're Looking For

• Experience in healthcare QA focusing on PHI, clinical workflows, and patient safety.
• Ability to work in an embedded QA model from discovery to maintenance; define risk-based release criteria; validate patient, clinician, and admin workflows.
• Proficiency testing across web UI, cloud apps, mobile, API; data-flow verification; knowledge of integrations/interoperability; data, security, and permissions; familiarity with HIPAA-aligned operations and audit-ready evidence.
• Understanding of no real PHI in AI systems; ability to implement masking or synthetic data; separation between production and test environments; compliance considerations.
• Knowledge of accessibility considerations for HIPAA-regulated products (ADA/WCAG 2.1 AA) and ability to turn accessibility gaps into remediation backlogs.
• Familiarity with AI in QA testing: AI accelerates test design but does not replace human judgment; validation by humans; safeguarding patient safety.

Nice to Have

• Experience with AI-assisted testing and synthetic data usage; human review before validation; no PHI in AI systems.
• Knowledge of WCAG 2.1 AA accessibility standards and ADA accessibility remediation.