Lead high-impact ML research projects from concept to deployment, focused on clinical NLP and reasoning systems. Define the technical direction of research initiatives within your product area, identifying opportunities to apply state-of-the-art models to real-world radiology workflows. Collaborate deeply with radiologists and clinical experts to understand diagnostic reasoning patterns, report structures, and clinical decision-making criteria then encode that understanding into robust ML systems. Architect and evaluate models that integrate structured and unstructured medical data to enhance diagnostic reasoning and reporting accuracy. Build NLP systems that can parse, reason over, and generate clinically accurate content using medical terminology and ontologies. Mentor and guide other researchers in experimental design, model reproducibility, and technical communication. Advance research infrastructure by contributing to data pipelines, training frameworks, and model evaluation tooling.