What you can expect

• Support the design and implementation of comprehensive data models and structured information for oncology
• Define and standardize clinical, physical, biological, and technical data using Common Data Elements (CDEs)
• Develop and apply automated systems for extracting, managing, and analyzing unstructured medical data using Natural Language Processing (NLP)
• Harness Large Language Models (LLMs) and agentic AI frameworks for automated data extraction
• Conduct retrospective analyses of clinical data to support ongoing AI and clinical projects within CAIRO, leveraging experience with large clinical databases (e.g., NIS, NSQIP, SEER)
• Act as a bridge between clinical needs and technical execution, translating complex medical workflows into robust data structures
• Be a part of an active research team across disciplines in a leading university hospital

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