Senior Scientist – AI/ML

Senior Scientist – AI/ML for GE HealthCare's Healthcare Technology & Innovation Center. Lead design and development of novel AI/ML solutions for early-stage healthcare applications, including clinical decision support, equipment services productivity, and engineering workflow automation. Build and evaluate retrieval-augmented generation (RAG) and LLM-based agentic systems with emphasis on interpretability, traceability, and reliability. Develop advanced prompt engineering frameworks (multi-agent workflows such as Plan-and-Execute, ReAct) for complex reasoning tasks. Design machine learning algorithms for structured/unstructured data (time-series, unsupervised/semi-supervised learning, anomaly detection, predictive analytics); integrate physics-informed or domain-aware models. Prototype with Python (Flask), microservices, and containerization (Docker); deploy cloud-native solutions; develop modular ML pipelines for rapid experimentation in low-TRL environments. Provide technical leadership, mentor junior scientists, and collaborate with clinical/product/engineering stakeholders to translate business needs into AI solutions. Define evaluation frameworks for accuracy, robustness, interpretability, and real-world applicability; conduct pilot studies and validation; establish best practices for responsible AI, explainability, and regulatory awareness. Education: Master’s or PhD in Computer Science, AI/ML, Engineering, or related fields. Preferred: healthcare AI experience, ~10–15 years in applied AI/ML; strong Python experience; hands-on with ML frameworks, Generative AI/LLMs, time-series, anomaly detection; Docker/API deployments; multi-agent and advanced prompt engineering; experience with interpretable AI and sensor analytics. Why Join Us: cutting-edge AI in healthcare at low TRL; collaboration with world-class researchers and access to real-world data; attractive rewards and growth opportunities.