Bioinformatics Engineer – Nextflow, AWS Specialist

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 Apply tot his job