• Architect, develop, and maintain scalable, production-ready bioinformatics pipelines for next-generation sequencing data, with primary ownership of workflows implemented in Nextflow and WDL • Lead pipeline design decisions with a strong emphasis on modularity, reusability, robustness, scalability, and maintainability • Refactor and optimize existing pipelines to improve performance, cost efficiency, fault tolerance, and ease of extension • Establish and enforce best practices for workflow development, including parameterization, versioning, provenance tracking, and reproducibility • Design and implement comprehensive testing strategies for pipelines and supporting code, including unit, integration, and end-to-end tests • Deeply understand and troubleshoot complex sequencing data processing pipelines across multiple stages (QC, alignment, methylation calling, feature generation, etc.) • Partner closely with Research, Machine Learning, and Platform Engineering teams to transition research workflows into production-grade systems • Support training and evaluation of machine learning models by enabling efficient data generation and large-scale distributed execution on AWS • Participate in and lead code reviews and design reviews, mentoring other engineers and scientists on workflow and software engineering best practices • Contribute to pipeline documentation, onboarding materials, and internal standards.