Hiring FT Remote Nextflow engineer to build ML workflows for cancer genomics

About this role

**Machine Learning Pipeline Engineer (Nextflow + Omics)** Location: Remote (U.S. only) **About PreOncology** 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. **The Role** 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. **What You’ll Do** • Build and maintain Nextflow pipelines for large-scale genomics and ML workflows. • Train, tune, and validate ML models (Cox, DeepSurv, RSF, gradient boosting, CNNs). • Engineer genomic and longitudinal features (PRS, rare variants, trajectories). • Run workflows on cloud platforms (AWS preferred). • Deploy reproducible pipelines with Docker or Singularity. **Must-Haves** • 2+ years building production pipelines in Nextflow. • Strong Python skills 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). **How to Apply** Email your resume to Luke.Stetson@preoncology.com and incl ...

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