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Baylor Genetics
Baylor Genetics

QA Software Engineer

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Testing
QA
Data
+39

Permanent role
2 days ago
Apply now

The Quality Assurance Software Engineer will lead the design and implementation of a comprehensive testing platform at Baylor Genetics, ensuring software quality by creating tests, researching testing improvements, and refining QA practices. This role involves performing comprehensive testing of data-driven applications, working with data integration systems, and collaborating with cross-functional teams to ensure that BG system meet both functional and regulatory requirements. You will help ensure the delivery of high-quality products that drive organizational efficiency and enhance decision-making.

Key Responsibilities

  • Quality Assurance Strategy: Develop and implement comprehensive QA strategies for RARE UI team, including data management platforms, reporting tools, and analytics solutions.
  • Test Planning and Execution: Create and execute detailed test plans, test cases, and automated tests for new and existing applications and systems related to RARE UI.
  • Data Validation: Perform data validation testing to ensure data accuracy, consistency, and integrity across multiple sources and platforms. Identify and report any discrepancies or issues.
  • Collaboration with Teams: Work closely with data engineers, developers, business analysts, and product owners to identify requirements, ensure alignment on testing objectives, and troubleshoot issues.
  • Automated Testing: Develop and implement automated testing scripts to ensure consistent testing and improve the efficiency of the QA process. Use appropriate testing tools and frameworks (e.g.,Playwright, Cucumber).
  • System Integration Testing: Conduct integration testing to ensure that various systems, applications, and data flows work seamlessly together, meeting functional requirements and data accuracy standards.
  • Regulatory Compliance: Ensure that all systems and data management practices are following industry regulations, such as HIPAA, GDPR, or other relevant standards
  • Defect Management: Identify, track, and manage defects through the lifecycle, including initial identification, reproduction, resolution, and retesting. Communicate issues to relevant stakeholders and assist in troubleshooting.
  • Documentation and Reporting: Maintain detailed documentation of test plans, test cases, test results,and defect logs. Provide regular status updates to the project team and stakeholders.
  • Continuous Improvement: Stay up to date with industry’s best practices, tools, and technologies related to QA. Identify opportunities for improving the QA process and increasing test efficiency.

Qualifications

  • Education: Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
  • Experience:
  • 3+ years of experience in Quality Assurance engineering, with a focus on web application testing, UI testing and online portal testing.
  • Hands-on experience with QA tools and frameworks for testing applications, especially in RARE UI, API testing.
  • 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).

Skills

  • Strong knowledge of manual and automated testing techniques and tools (e.g., Selenium, Playwright, JUnit, TestNG).
  • Proficient in scripting languages such as Python, Java, or SQL for test automation and data manipulation.
  • Experience with version control systems such as Git.
  • Strong analytical and problem-solving skills, with attention to detail in identifying and addressing issues.
  • Familiarity with CI/CD pipeline tools and processes.
  • Excellent communication skills and the ability to collaborate with cross-functional teams to drive quality standards.

Preferred Qualifications

  • Experience in knowledge management, data analytics, or informatics systems.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI) and their testing.
  • Experience with cloud-based testing and cloud infrastructure (e.g., AWS, Azure).
  • Familiarity with test management tools (e.g., Jira, XRay).
  • Certification in software testing (e.g., ISTQB).

EEO Statement

Baylor Miraca Genetics is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic under applicable law

About Baylor Genetics

👥201-500
📍Texas Houston
🔗Website

Baylor Genetics Service

Baylor Genetics product / service
Baylor Genetics product / service
Baylor Genetics product / service
Baylor Genetics product / service
Baylor Genetics product / service

How does Baylor Genetics work?

offer the highest quality genetic testing services and make testing accessible

Company culture

pay-for-performance

thrives in the face of a challenge

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