Knowledge Informatics QA Engineer

🕒 Março 27

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Baylor Genetics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1978

🧬 Biotecnologia

🔬 Ciência

Biotechnology • Science

A Baylor Genetics é um laboratório de genômica clínica e diagnóstico de precisão afiliado ao Baylor College of Medicine, que oferece serviços abrangentes de teste genético e interpretação. A empresa oferece sequenciamento do genoma completo e do exoma completo, análise cromossômica por microarray, testes mitocondriais, farmacogenômica e ensaios especializados, juntamente com aconselhamento genético, suporte para prestadores de serviços e recursos de seguro/pagamento. A Baylor Genetics apoia prestadores de saúde, pesquisadores e famílias com interpretação aprimorada por IA, integração de dados multimodais e serviços clínicos e laboratoriais de ponta a ponta.

Descrição

• 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.

🎯 Requisitos

• 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).

🏖️ Benefícios

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