Senior Quality Assurance Engineer
biospace
Job Description
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Own and execute end‑to‑end QA activities (functional, regression, integration, UAT) across digital, AI, and BI products.
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Validate structured and unstructured data used in analytics, dashboards, and AI models for accuracy, completeness, and integrity.
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Test AI chatbot functionality, including conversational flows, intent recognition, entity extraction, and business logic.
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Review chatbot responses and conversation logs to identify errors, inconsistencies, bias, and compliance gaps.
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Validate pharmaceutical analytical tests, rules, methods, and standards represented in digital systems.
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Perform rigorous testing of Tableau/BI dashboards, including data sources, calculations, filters, and visualizations.
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Execute SQL‑based data validation across backend databases to ensure consistency between source data and UI outputs.
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Document test cases, test results, defects, and validation evidence; manage defect lifecycle through resolution.
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Maintain audit‑ready QA documentation, SOPs, and validation reports aligned with GxP expectations.
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Collaborate with Product Managers, Developers, Data Scientists, and UX teams to ensure clear requirements and test coverage.
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Support UAT sign‑off, release readiness, and quality reporting across environments.
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Continuously improve QA processes, tools, and testing practices for digital and AI‑enabled products.
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