Bioinformatics Pipeline Test Engineer

Remote in San Diego, CA, US • Posted 4 hours ago • Updated 4 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Automated Testing
  • Collaboration
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Life Sciences
  • Debugging
  • Workflow
  • Statistics
  • System Testing
  • Database
  • Scripting
  • Regression Testing
  • Test Strategy
  • Test Cases
  • Data Validation
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • GitLab
  • Microsoft Azure
  • DevOps
  • Amazon S3
  • Cloud Computing
  • Bioinformatics
  • Genomics
  • Next Generation Sequencing
  • Python
  • Testing
  • Quality Assurance
  • Git

Summary

Job Description:
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.
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.

Requirements:
  • 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/Google Cloud Platform/Azure) and data pipelines.
  • Strong problem-solving and communication skills.

Preferred Skills:
  • Experience in biotech/life sciences domain.
  • Familiarity with Nextflow, Snakemake, or similar workflows.
  • Exposure to regulated environments (CLIA/FDA).
  • What We're Looking For.
  • Strong testing mindset + hands-on engineering skills.
  • bility 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.
  • Reject or deprioritize if:
  • 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.

Other High Priority Keywords:
  • Variant Calling.
  • Pipeline Testing.
  • Regression Testing.
  • Test Strategy OR Test Case Design.
  • Data Validation.
  • Golden Dataset OR Reference Dataset.
  • CI/CD OR "GitHub Actions " OR GitLab OR "Azure DevOps ".
  • WS OR S3 OR Cloud.
  • Nextflow OR Snakemake OR WDL OR Cromwell.
  • utomation Testing.

Must Have:
  • Bioinformatics OR Genomics.
  • NGS OR "Next Generation Sequencing ".
  • VCF OR BAM OR FASTQ.
  • Python.
  • Testing OR QA OR "Quality Engineer " OR Validation.
  • Git.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91116760
  • Position Id: 379f193755d693802ed4e928387c862a
  • Posted 4 hours ago
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