
AI-Driven Medical Analysis Tester
18 hours ago
Job Opportunity:
We are seeking a highly skilled and experienced Quality Assurance Engineer to join our team. As a key member of our organization, you will play a critical role in ensuring the accuracy and reliability of our AI-driven medical analysis tools.
About the Role:
As a Quality Assurance Engineer, your primary responsibility will be to perform thorough manual testing of our AI-driven medical analysis tools, ensuring their accuracy and reliability in processing complex patient data. You will also execute comprehensive test plans across web applications, focusing on user experience, data accuracy, and workflow validation.
Your Key Responsibilities:
- Manual testing of AI-driven medical analysis tools, ensuring accuracy and reliability in processing complex patient data.
- 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.
- Conduct specialized testing of AI/ML outputs, including validation of NLP results, LLM responses, and data processing accuracy across diverse medical datasets.
- 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.
- Identify, document, and track defects using bug tracking tools while working collaboratively with the development team to resolve issues quickly.
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 (e.g., Linear, Jira, TestRail, or similar).
- Understanding of AI/ML concepts or strong willingness to learn, including how to validate model outputs and data processing results.
- Excellent analytical and problem-solving skills with meticulous attention to detail—critical when working with medical data.
- Strong communication skills and ability to work collaboratively in a fast-paced startup environment.
Nice to Have:
- Experience with automated testing frameworks (Cypress, Playwright, Selenium, Jest) or scripting for test automation.
- Knowledge of API testing tools (Postman, Insomnia) and basic understanding of REST endpoints.
- Experience with Python or other scripting languages.
- Background in healthcare, medical devices, or regulated industries with understanding of compliance requirements.
- Familiarity with cloud platforms (AWS) and web application architecture.
- Experience testing NLP applications, LLMs, or AI-powered products.
- Knowledge of accessibility testing and HIPAA compliance considerations.
- Understanding of agile development methodologies and CI/CD processes.
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