Automation QA Engineer Genomics / Bioinformatics
# Automation QA Engineer Genomics / Bioinformatics **Nova Web Technologies** · San Diego, CA · `On-site` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Indeed* --- ### About the Role Location: San Diego, CA Experience: 3+ Years Employment Type: Contract Position Overview: We are looking for a skilled Automation QA Engineer – Genomics / Bioinformatics to ensure the quality, reliability, and accuracy of software applications supporting genomics, sequencing, and life sciences workflows. The ideal candidate will bring hands-on experience in Python-based test automation , software quality engineering, and genomics or laboratory environments. This role involves validating application functionality, genomic data outputs, system integrations, and end-to-end workflows in collaboration with software engineering, QA, scientific, and laboratory teams. This position focuses on software testing and quality assurance , rather than developing bioinformatics pipelines. The successful candidate will help ensure that applications and data outputs meet scientific requirements and reflect real-world laboratory processes. Key Responsibilities: - Develop, maintain, and execute automated test suites using Python and applicable testing frameworks. - Create and execute test plans, test cases, regression suites, and data-validation scenarios. - Perform functional, integration, regression, and end-to-end testing of genomics and life sciences applications. - Validate sequencing workflows, genomic data outputs, variant-calling results, and sample-to-result traceability. - Collaborate with wet lab and dry lab teams to understand laboratory processes, sample lifecycles, instrument outputs, and data transfers. - Translate scientific and laboratory requirements into practical test scenarios and acceptance criteria. - Test integrations with Laboratory Information Management Systems (LIMS) , including sample tracking, chain of custody, and result reporting. - Identify, document, track, and verify software defects, partnering with engineering teams on root-cause analysis and resolution. - Verify data integrity, audit trails, traceability, and the accuracy of application outputs. - Integrate automated tests into CI/CD pipelines and improve test coverage, reliability, and execution efficiency. - Maintain test data, enhance automation frameworks, and contribute to continuous QA process improvements. - Participate in Agile ceremonies, sprint planning, defect triage, and release testing. Required Skills and Qualifications: - Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Bioengineering, Life Sciences, or a related field. - At least 3 years of experience in QA, software testing, quality engineering, or test automation. - Strong hands-on Python programming skills for automated test development. - Experience with testing frameworks such as pytest, unittest, or Robot Framework . - Working knowledge of genomics and bioinformatics concepts, including sequencing, genomic data workflows, sample-to-data lifecycle, common genomic file formats, and variant-calling outputs. - Experience testing software within a biotechnology, genomics, bioinformatics, life sciences, or laboratory environment . - Familiarity with wet lab and/or dry lab workflows and the ability to validate software behavior against laboratory requirements. - Experience testing or integrating with LIMS platforms. - Strong understanding of functional, integration, regression, and data-validation testing methodologies. - Ability to analyze application outputs, troubleshoot issues, and manage defects through resolution. - Excellent communication and collaboration skills when working with engineers, QA professionals, scientists, and laboratory personnel. Preferred Qualifications: - Previous experience as an Automation QA Engineer or Quality Engineer in a genomics or bioinformatics organization. - Familiarity with cloud-based genomics platforms, life sciences data platforms, or laboratory information systems. - Experience with API testing and tools such as Postman, Selenium, or comparable automation technologies. - Experience incorporating automated tests into CI/CD pipelines. - Knowledge of life sciences and healthcare compliance frameworks, including HIPAA, CLIA, CAP, or 21 CFR Part 11. - Understanding of regulated software environments, data integrity, audit trails, and end-to-end traceability. - Experience validating laboratory instrument data or downstream genomic analysis results. Technical Skills: Required - Python-based test automation - pytest, unittest, or Robot Framework - Functional, integration, regression, and end-to-end testing - Data validation and test case development - Genomics / Bioinformatics fundamentals - LIMS integration and laboratory workflows - Defect tracking and root-cause analysis - CI/CD testing practices Preferred - API testing and automation - Postman and Selenium - Cloud-based genomics platforms and data lakes - Healthcare and life sciences compliance - Laboratory information systems and instrument-generated data
Наблюдалась 2026-10-07, впервые 2026-10-06, источник — Indeed.