Knowledge Informatics QA Engineer

🕒 March 27

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🧬 Biotechnology

🔬 Science

Biotechnology • Science

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Develop and implement comprehensive QA strategies for knowledge informatics systems, including data management platforms, reporting tools, and analytics solutions. • Create and execute detailed test plans, test cases, and automated tests for new and existing applications and systems related to knowledge informatics. • Perform data validation testing to ensure data accuracy, consistency, and integrity across multiple sources and platforms. • Work closely with data engineers, developers, business analysts, and product owners to identify requirements, ensure alignment on testing objectives, and troubleshoot issues. • Develop and implement automated testing scripts to ensure consistent testing and improve the efficiency of the QA process. • Conduct integration testing to ensure that systems, applications, and data flows work seamlessly together. • Ensure that all systems and data management practices are following industry regulations, such as HIPAA, GDPR. • Identify, track, and manage defects through the lifecycle, communicate issues to relevant stakeholders.

🎯 Requirements

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. • 3+ years of experience in Quality Assurance engineering, with a focus on data-driven applications and informatics systems. • Hands-on experience with QA tools and frameworks for testing applications, especially in knowledge management or informatics domain. • Experience with data validation, data integration testing, and ensuring data quality. • Familiarity with regulatory requirements and compliance standards related to data management (e.g., HIPAA, GDPR).

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development