We are seeking aSenior AI/ML Engineerto lead the development of the longitudinal clinical intelligence engine at the core of GenTraceDx.This role focuses on designing and implementing systems that continuously interpret genomic and clinical data in the context of evolving scientific and clinical evidence.You will work at the intersection of:clinical dataAI systemsreal-world oncology applicationsResponsibilitiesDesign and build AI/ML systems for longitudinal interpretation of genomic and clinical dataDevelop pipelines that integrate multiomic inputs (WES, RNA) with external knowledge sourcesBuild and optimize models that support continuous reanalysis as new evidence emergesImplement agentic or retrieval-based systems to incorporate real-time updates from literature, clinical trials, and curated databasesCollaborate with bioinformatics, clinical, and software teams to translate models into production systemsContribute to system architecture for scalable, secure, and auditable clinical AI pipelinesEnsure models are transparent, reproducible, and aligned with clinical and regulatory expectationsQualificationsMSc or PhD in Computer Science, Machine Learning, Bioinformatics, or related fieldStrong experience in applied machine learning and production-grade systemsExperience working with biomedical, genomic, or clinical datasets is strongly preferredFamiliarity with knowledge graphs, retrieval systems, or evidence integration approachesExperience with Python, ML frameworks (e.g., PyTorch, TensorFlow), and data pipelinesStrong understanding of model evaluation, validation, and reproducibilityAbility to work across disciplines, including clinical and scientific teamsWhat You’ll Work OnA longitudinal AI system that continuously updates patient-specific insightsIntegration of genomic data with evolving clinical evidenceSystems used by physicians and patients in real-world oncology settingsA platform designed to scale across national and international clinical environmentsWhy JoinWork alongside leaders in clinical genomics and precision oncologyContribute to a nationally supported, multi-institutional initiativeBuild systems with direct clinical and patient impactHelp define a new standard in precision oncology diagnosticsLocationOn site or Remote (Canada, U.S., and international candidates welcome)Collaboration with team in Vancouver#J-18808-Ljbffr