
Medical Data Validation Specialist
2 days ago
Job Overview
The Quality Assurance (QA) Engineer is responsible for ensuring the accuracy and reliability of AI-driven medical analysis tools.
Key Responsibilities:
- Perform thorough manual testing of complex patient data, including validation of NLP results and data processing accuracy.
- Execute comprehensive test plans across web applications, focusing on user experience, data accuracy, and workflow validation.
- Collaborate closely with engineers, product managers, and domain experts to understand user workflows and identify critical testing scenarios.
- Work directly with physicians and legal teams to gather feedback and ensure our tools meet real-world quality standards.
- Help establish QA processes and documentation standards, contributing to our testing practices as we scale.
Requirements:
- 3+ years of manual QA experience with web applications, including test case creation, execution, and defect management.
- Strong experience in functional testing, user acceptance testing, and exploratory testing.
- Familiarity with web technologies and ability to test applications built with modern frameworks.
- Experience with bug tracking and test management tools.
- Understanding of AI/ML concepts or strong willingness to learn.
- Excellent analytical and problem-solving skills with meticulous attention to detail.
Nice to Have:
- Experience with automated testing frameworks or scripting for test automation.
- Knowledge of API testing tools and basic understanding of REST endpoints.
- Experience with Python or other scripting languages.
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