Automation QA Engineer, Genomics/Bioinformatics

Requirements:

• Bachelors or masters degree in computer science, bioinformatics, bioengineering, or a closely related field
• At least 3 years of QA or test automation experience, including hands-on Python scripting with frameworks such as pytest, unittest, or Robot Framework
• Working knowledge of genomics fundamentals, including sequencing concepts, the sample-to-data lifecycle, and common genomics file and data formats
• Experience in life sciences or biotech software environments
• Exposure to wet lab and/or dry lab environments and the ability to coordinate testing around lab processes and instrument or data outputs
• Experience testing or interacting with LIMS platforms
• Comfortable validating genomics data and software outputs without developing bioinformatics pipelines
• Preferred: experience as an Automation QE in a bioinformatics organization
• Preferred: familiarity with cloud-based genomics platforms or life sciences data lakes
• Preferred: awareness of healthcare and life sciences compliance frameworks, such as HIPAA, CLIA, CAP, or 21 CFR Part 11
• Preferred: experience with API or automation testing tools such as Postman or Selenium, in addition to Python-based frameworks

Responsibilities:

• Design, develop, and maintain Python-based automated test suites for applications supporting genomics, sequencing, and life sciences data workflows
• Create and execute test plans, test cases, and regression suites for functional, integration, and data-validation testing, focusing on verifying application and pipeline outputs rather than building pipelines
• Validate software behavior against genomic science concepts, including sequencing data types, variant-calling outputs, and sample-to-result traceability
• Work with wet lab and dry lab teams to understand sample lifecycles, instrument outputs, and data handoffs, and turn that knowledge into test scenarios
• Test LIMS integrations to confirm sample tracking, chain of custody, and end-to-end result reporting
• Identify, document, and track defects, and partner with engineering and product teams on root-cause analysis and resolution
• Help develop testing strategies for life sciences and healthcare compliance considerations, including data integrity, audit trails, and traceability, in partnership with QA leadership
• Improve automation frameworks, CI/CD test integration, and test data management practices

Technologies:

• API
• CI/CD
• Cloud
• Postman
• Python
• Robot Framework
• Selenium
• pytest

More

We are hiring an Automation QA Engineer to test software systems used in genomics and life sciences workflows. This quality engineering role focuses on automated and manual test coverage for platforms that process genomic and laboratory data, validating that results align with real wet lab and dry lab processes. The role verifies software and pipeline outputs; it does not involve developing bioinformatics pipelines.

last updated 44 week of 2026