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Nova Web Technologies

Bioinformatics Pipeline Test Engineer (Healthcare)

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What they do

A Biomedical Engineer designs solutions to problems in medicine and biology to improve patient care. Combines engineering with medical and biological knowledge. May develop medical products designed to replace biological functions, such as prosthetic limbs or artificial hearts, or design equipment such as X-rays and surgical tools.

$113,160 / year median in California

+4% projected growth

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Job Description

Bioinformatics Pipeline Test Engineer (Healthcare) Nova Web Technologies San Diego, CA Job Details Contract 22 hours ago Qualifications Next generation sequencing Continuous Delivery (CD) implementation Tooling Git Public Cloud Quality check automation Technical troubleshooting support DevOps automation Python Cross-functional communication
Full Job Description Location:
San Diego, CA Experience:
2+
Years Employment Type:
Contract Position Overview:
We are looking for a Bioinformatics Pipeline Test Engineer to validate and ensure the quality, accuracy, and reliability of NGS data pipelines and bioinformatics workflows. The ideal candidate will have a strong combination of bioinformatics/genomics knowledge, software testing, Python automation, and data pipeline experience . This role will involve testing NGS workflows, validating genomic data, identifying defects and discrepancies, and collaborating with engineering and cross-functional teams to ensure production-quality solutions.
Key Responsibilities:
Design and execute testing strategies for NGS pipelines , including alignment, variant calling, and annotation workflows. Perform data validation, regression testing, and discrepancy analysis across bioinformatics pipelines. Develop automated test scripts and validation utilities using Python . Translate functional and technical requirements into comprehensive test cases and validation criteria. Validate genomic data formats and processing workflows, including FASTQ, BAM, and VCF . Identify, document, troubleshoot, and track pipeline defects and data quality issues. Work with CI/CD pipelines and cloud-based data workflows to support automated testing and deployment. Collaborate with bioinformatics engineers, data engineers, developers, and QA teams to improve pipeline quality and reliability. Support testing of production and cloud-based data pipelines and help troubleshoot issues across environments.
Must-Have Skills:
2+ years of relevant experience in bioinformatics, genomics, data pipeline testing, or QA. Strong understanding of Next Generation Sequencing (NGS) workflows. Hands-on experience with FASTQ, BAM, and/or VCF data formats. Experience in bioinformatics pipeline testing, QA, validation, or data testing . Strong Python scripting/automation skills. Hands-on experience with Git and CI/CD tools. Experience working with cloud platforms such as AWS, GCP, or Azure . Understanding of data pipelines and automated testing frameworks. Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills.
Preferred Qualifications:
Experience in the biotechnology, healthcare, genomics, or life sciences industry. Familiarity with workflow orchestration tools such as Nextflow, Snakemake, WDL, or Cromwell . Experience with variant calling and genomic data validation. Exposure to regulated environments such as FDA or CLIA . Experience working with cloud-based bioinformatics pipelines. Knowledge of reference/golden datasets for data validation. Experience with automated regression testing and pipeline validation.