Automation QA Engineer Genomics Bioinformatics San Diego CA Onsite Day One

Vytwo; Prosper (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

Vytwo is seeking an Automation QA Engineer to test software systems used in genomics and life sciences workflows. This role focuses on designing, building, and executing automated and manual test coverage for platforms that process genomic data, ensuring results align with wet lab and dry lab processes.

Strong Python-based automation skills are essential, with genomics/bioinformatics knowledge. You will collaborate with cross-functional teams, validate data integrity, and contribute to

Qualifications

• Bachelor's or Master’s degree in CS, Bioinformatics, Bioengineering, or related field.
• 3+ years of QA/test automation experience with Python-based testing frameworks (pytest/unittest/Robot Framework).
• Working knowledge of genomics concepts and data formats used in genomics.
• Experience in Life Sciences/Biotech software environments beyond general enterprise QA.
• Direct exposure to wet/dry lab environments and coordination of testing with real lab processes.
• Experience testing or integrating with LIMS platforms.

Responsibilities

• Design, develop, and maintain automated test suites (Python-based) for genomics/life sciences data workflows.
• Build and execute test plans, test cases, and regression suites; verify pipeline outputs, not bioinformatics pipelines.
• Validate software behavior against genomic concepts like sequencing data types and variant calling outputs.
• Coordinate with wet lab and dry lab teams to translate sample lifecycle into test scenarios.
• Test integrations with LIMS to ensure end-to-end sample tracking and result reporting.
• Identify, document, and track defects; collaborate with engineering and product teams on root-cause analysis and resolution.
• Contribute to test strategy for healthcare/life sciences compliance considerations (data integrity, audit trails).
• Continuously improve automation frameworks, CI/CD test integration, and test data management.

Skills

Python scripting

QA automation

Genomics knowledge

Education

Bachelor's degree in Computer Science

Master's in Bioinformatics/Bioengineering or related

Tools

pytest

unittest

Robot Framework

Job description

Automation QA Engineer – Genomics / Bioinformatics

Domain: Bioinformatics

Location: San Diego, CA - Onsite

Day One: Duration: 6 Months

Job Description

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.
• 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.