Berne, 80 - 100 %
The Center for AI in Radiation Oncology (CAIRO) develops data-driven models to improve diagnosis, treatment planning, and outcome prediction in radiation oncology. The CAIRO Data Semantics Taskforce aims to establish a comprehensive data infrastructure that captures medical information in a structured, standardized, and machine-readable format to facilitate training of modern AI solutions. We are seeking to expand the CAIRO Semantics team with a dedicated medical data engineer to support the curation of real-world data sets by harnessing modern LLM solutions, designing and curating semantic data definitions and implementing automated data analytics.
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
Your Profile
MD, M.SC, or PhD degree in Health Informatics, Computer Science, Data Science, Medicine, Computational Biology, Biomedical Engineering, or a closely related field
Demonstrated dual expertise, possessing both a strong technical ba