This role involves ensuring high standards of accuracy, safety, and compliance across a scalable digital phenotyping platform serving public healthcare needs
Job Summary
This role involves ensuring high standards of accuracy, safety, and compliance across a scalable digital phenotyping platform serving public healthcare needs.
The engineer will implement automated testing strategies using Python, SQL, Appium, and Playwright to validate end-to-end data journeys from sensor capture to clinician insights.
Collaboration with Data and DevOps engineers is required to integrate QA into CI/CD pipelines, including synthetic data generation and chaos testing.
Matching Summary
Match Score: 85
This role involves ensuring high standards of accuracy, safety, and compliance across a scalable digital phenotyping platform serving public healthcare needs.
Skills & Requirements
Must-have
Automated testing with Python and SQL
Mobile app testing using Appium and Playwright
Data pipeline validation and CI/CD integration
Testing for privacy compliance and consent flows
Nice-to-have
Experience with BYOD device variability testing
Knowledge of clinical care models and workflows
Familiarity with Healthcare Commercial Cloud migration
Chaos testing experience for data dropouts
Key Requirements
Bachelor's degree in Computer Science or related field
Minimum 4 years of software quality assurance experience
Strong understanding of CI/CD practices and automated pipelines