Associate Software Engineer — Strand Life Sciences (bioinformatics data pipeline automation and tooling)
Built and automated an AI/data-processing pipeline for large-scale genomic data, translating scientific inputs into structured outputs for downstream analysis. Focused on improving data handling efficiency through workflow optimization and Python automation rather than manual labeling. Delivered production-ready tools to support reliable analysis decisions based on the processed datasets. • Engineered a scalable Nextflow-based bioinformatics pipeline for genomic data processing. • Automated repetitive bioinformatics tasks with Python to reduce processing time and human error. • Created a centralized dashboard to improve visibility of sequencing data for analysis. • Collaborated in an Agile environment using Git, Docker, AWS Cloud9, and Linux for production support.