Automation QA Engineer - Genomics / Bioinformatics - San Diego CA - Onsite Day One

Vytwo; Dallas (TX); On-site; USD 105,000 - 145,000; Full time

Job summary

Vytwo in San Diego, CA is seeking an Automation QA Engineer to test software for genomics and life sciences workflows. This is a quality engineering role focused on designing, implementing, and executing automated and manual test coverage for platforms that process genomic data, ensuring results align with lab processes.

Must-have is strong Python-based test automation experience (pytest/unittest/Robot Framework).

Qualifications

• 3+ years in QA/test automation with Python scripting.
• Knowledge of genomics concepts and data formats.
• Experience in Life Sciences or Biotech software.
• Exposure to wet/dry lab environments.
• Experience testing or interacting with LIMS platforms.

Responsibilities

• Design, develop, and maintain Python-based automated test suites 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.
• Validate software behavior against genomic science concepts (sequencing data types, variant calling outputs, sample-to-result traceability).
• Coordinate with wet lab and dry lab teams to map tests to sample lifecycles and data handoffs.
• Test integrations with LIMS ensuring sample tracking, chain-of-custody, and result reporting end-to-end.
• Identify, document, and track defects; partner with engineering and product teams on root-cause analysis.
• Contribute to test strategy for healthcare/life sciences compliance considerations (data integrity, audit trail).
• Continuously improve automation frameworks, CI/CD test integration, and test data management practices.

Skills

Python testing

QA automation

Genomics basics

LIMS testing

Lab coordination

Education

Bachelor/Master in CS or Bioinformatics

Tools

pytest

unittest

Robot Framework

Job description

Title: 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.

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.