Machine Learning Pipeline Engineer (Nextflow + Omics) Location: Remote (U.S. only) PreOncology is building next-generation cancer risk models that integrate clinical, genetic, and longitudinal data to enable earlier detection and prevention. We are seeking a Machine Learning Pipeline Engineer to build scalable workflows and deploy ML models that make a real clinical impact. You will design and optimize Nextflow pipelines for large-scale genomics and risk-modeling workflows and integrate machine learning and deep-learning models into production-ready systems. The role is fully remote and ideal for someone who enjoys bridging bioinformatics, data engineering, and ML implementation. Must-haves: • 2+ years building pipelines in Nextflow • Python for data processing and ML integration • Experience with omics data (ideally cancer) • Proven work training and validating ML models • Authorized to work in the U.S. now and in the future (no sponsorship available) To apply: Email Luke.Stetson@preoncology.com with your resume and 1–2 sentence answers about your Nextflow experience, omics background, and ML models you have built.