Job Description:
• Architect and develop advanced Nextflow pipelines for NGS data processing, analysis, and multi-step workflow orchestration.
• Deploy, operate, and optimize pipelines on AWS EKS and Batch.
• Build and maintain Docker-based container environments for reproducible and portable bioinformatics pipelines.
• Develop and maintain robust Python tooling to support workflow automation, QC reporting, monitoring, and data integration.
• Implement workflow observability, logging, and cost-optimized execution strategies for large-scale genomic data.
• Collaborate with sequencing, bioinformatics, and platform engineering teams to improve workflow reliability and performance.
• Establish best practices for pipeline versioning, continuous integration, automated testing, and cloud-based deployment.
• Ensure pipelines are highly reproducible, fault-tolerant, and suitable for production environments in regulated or high-stakes settings.
Requirements:
• 5+ years of experience in bioinformatics, computational biology, workflow engineering, or related fields.
• Expert-level proficiency in Nextflow, including DSL2, modules, workflow optimization, and pipeline debugging.
• Strong hands-on experience with AWS, particularly:
• Deep expertise with Docker, including custom image creation, multi-stage builds, and best practices for pipeline reproducibility.
• Strong Python development skills with production-level experience, testing frameworks, packaging, and tooling.
• Experience operating in cloud-native environments with distributed computing, autoscaling, cost-optimization, and workflow orchestration.
• Solid understanding of NGS data formats, sequencing workflows, and common bioinformatics tools.
• Strong Linux skills and experience with CI/CD systems.
Benefits:
• Equal Opportunity Employer
• Work in service of people changing the world for the better
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