Automation QA Engineer Genomics / Bioinformatics

PeopleNTech LLC

Alexandria (VA)

On-site

USD 90,000 - 120,000

Full time

7 days ago
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Job summary

PeopleNTech LLC is hiring an Automation QA Engineer to design, build, and execute automated and manual test coverage for genomics and life sciences workflows. The role emphasizes Python-based test automation and validating pipeline outputs against wet and dry lab processes.

You will coordinate with wet and dry lab teams, test LIMS integrations, and contribute to test strategy with compliance considerations like data integrity and traceability.

Qualifications

  • 3+ years in QA/test automation with Python.
  • Experience with genomics concepts and data formats.
  • Hands-on testing of LIMS and bioinformatics software.
  • Ability to coordinate with wet/dry lab teams.
  • Regulatory awareness in healthcare/life sciences is a plus.

Responsibilities

  • Design, develop, and maintain Python-based automated tests.
  • Create test plans, cases, and regression suites.
  • Validate outputs against genomic data concepts.
  • Collaborate with lab teams to understand sample lifecycle.
  • Test integrations with LIMS and ensure data traceability.
  • Identify defects and support root-cause analysis.
  • Contribute to test strategy for compliance.
  • Improve automation frameworks and CI/CD integration.

Skills

QA automation
Python scripting
Genomics knowledge
LIMS testing
Test strategy
CI/CD testing

Education

Bachelor's or Master's in CS/Bioinformatics

Tools

pytest
unittest
Robot Framework
Postman
Selenium

Job description

Job Descript

We are hiring an Automation QA Engineer to test software systems used in genomics and life sciences workflows. This is a quality engineering role, not a bioinformatics pipeline development role: you will design, build, and execute automated and manual test coverage for platforms that process genomic and laboratory data, and you will validate that results align with real wet lab and dry lab processes. Strong Python-based test automation skills are essential; genomics/BioE domain knowledge is what separates a good tester on this platform from a great one.

Key Responsibilities:
  • Design, develop, and maintain automated test suites (Python-based) for applications supporting genomics, sequencing, and life sciences data workflows.
  • Build and execute test plans, test cases, and regression suites covering functional, integration, and data-validation testing, no pipeline-building responsibility; the focus is verifying pipeline/application outputs, not authoring bioinformatics pipelines.
  • Validate software behavior against genomic science concepts (e.g., sequencing data types, variant calling outputs, sample-to-result traceability) to confirm results are scientifically and technically correct.
  • Coordinate directly with wet lab and dry lab teams to understand sample lifecycle, instrument outputs, and data handoffs, and translate that understanding into test scenarios.
  • Test integrations with LIMS (Laboratory Information Management Systems), ensuring sample tracking, chain-of-custody, and result reporting behave correctly end-to-end.
  • Identify, document, and track defects; partner with engineering and product teams on root-cause analysis and resolution.
  • Contribute to test strategy for healthcare/life sciences compliance considerations (e.g., data integrity, audit trail, traceability) in partnership with QA leadership.
  • Continuously improve automation frameworks, CI/CD test integration, and test data management practices.
Required Qualifications:

Education:

  • Bachelor's or Master's degree in Computer Science, Bioinformatics, Bioengineering, or a closely related field.

Experience & Technical Skills

  • 3+ years of experience in QA / test automation, with hands-on Python scripting for test frameworks (e.g., pytest, unittest, Robot Framework).
  • Working knowledge of genomics science fundamentals, sequencing concepts, sample-to-data lifecycle, common file/data formats used in genomics.
  • Demonstrated experience in Life Sciences or Biotech software environments (not general enterprise QA alone).
  • Direct exposure to wet lab and/or dry lab environments, with the ability to coordinate testing activities against real lab processes and instrument/data outputs.
  • Experience testing or interacting with LIMS platforms.
  • Comfortable working without owning pipeline construction, this role validates genomics data/software outputs, it does not develop bioinformatics pipelines.
Preferred / Bonus Qualifications
  • Prior experience specifically as an Automation QE within a Bioinformatics organization.
  • Familiarity with cloud-based genomics platforms or data lakes used in life sciences software.
  • Exposure to regulatory/compliance frameworks relevant to healthcare and life sciences software (e.g., HIPAA, CLIA, CAP, 21 CFR Part 11), awareness level, not ownership.
  • Experience with API/automation testing tools (Postman, Selenium, or similar) in addition to Python-based frameworks.
Skills:

Application Programming Interface (API), Automation, Bioengineering, Bioinformatics, Biology, Biotech and Pharmaceutical, Bug Tracking/Defect Management, Cloud Computing, Code of Federal Regulations, Computer Science, Construction, Continuous Deployment/Delivery, Continuous Improvement, Continuous Integration, Data Formats, Data Management, Data Quality, Functional Testing, Genomics, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Integration Testing, Laboratory Information Management System (LIMS), Leadership, Mail Services, Organizational Skills, Pytest, Python Programming/Scripting Language, Quality Assurance, Quality Assurance Methodology, Regression Testing, Regulatory Compliance, Robot (Python Framework), Root Cause Analysis, Science Software, Selenium, Software Engineering, Software Testing, Software Validation, Systems Engineering, Test Automation, Test Case, Test Data, Test Scenario, Test Scripts, Test Strategy, Test Suite, Test Tools, Testing, Traceability, Validation Testing

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PeopleNTech LLC

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