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Bioinformatics Pipeline Test Engineer Healthcare San Diego CA Local to CA or relocate
Job in
Prosper, Collin County, Texas, 75078, USA
Listed on 2026-08-31
Listing for:
Vytwo
Full Time
position Listed on 2026-08-31
Job specializations:
-
Quality Assurance - QA/QC
AI QA / Validation Engineer
Job Description & How to Apply Below
Title:
Bioinformatics Pipeline Test Engineer Domain:
Healthcare
Location:
San Diego, CA - Local to CA or who can relocate Duration: 6 Months
Experience:
2+ years
- Bioinformatics OR Genomics
- NGS OR "Next Generation Sequencing"
- VCF OR BAM OR FASTQ
- Python
- Testing OR QA OR "Quality Engineer" OR Validation
- Git
Role Overview
We are seeking a Bioinformatics Test Engineer to validate and ensure the quality of NGS data pipelines and bioinformatics workflows. The role requires a strong blend of bioinformatics knowledge, QA expertise, and automation skills.
Key Responsibilities- Design and execute testing strategies for NGS pipelines (alignment, variant calling, annotation)
- Perform data validation, regression testing, and discrepancy analysis
- Develop automated test scripts (Python)
- Translate requirements into test cases and validation criteria
- Work with CI/CD pipelines and cloud-based workflows
- Collaborate with cross-functional teams to ensure data accuracy and reliability
- Strong understanding of NGS workflows (FASTQ, BAM, VCF)
- Experience in bioinformatics pipeline testing or QA
- Proficiency in Python scripting
- Hands-on with Git and CI/CD tools
- Experience with cloud platforms (AWS/GCP/Azure) and data pipelines
- Strong problem-solving and communication skills
- Experience in the biotech/life sciences domain
- Familiarity with Nextflow, Snakemake, or similar workflows
- Exposure to regulated environments (CLIA/FDA)
- Strong testing mindset + hands-on engineering skills
- Ability to debug pipelines and explain thought process clearly
- Experience with real-world data workflows (not just academic projects)
- Mentions NGS pipelines + testing together
- Has Python + Git + CI/CD
- Mentions variant calling / VCF validation
- Worked on cloud or production pipelines
- Only academic bioinformatics (no testing/QA)
- Only statistics validation (no system testing)
- No Python or automation
- No infra experience (cloud / CI/CD / DB)
- Only local scripts, no real pipelines
- Variant Calling
- Pipeline Testing
- Regression Testing
- Test Strategy OR Test Case Design
- Data Validation
- Golden Dataset OR Reference Dataset
- CI/CD OR "Git Hub Actions" OR Git Lab OR "Azure Dev Ops"
- AWS OR S3 OR Cloud
- Nextflow OR Snakemake OR WDL OR Cromwell
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