Join a leading research team at a top university hospital and help shape the future of AI in radiation oncology by building smart data solutions and working with cutting-edge technology.
Your tasks
- Support the design and implementation of data models and structured information for oncology.
- Define and standardize clinical, physical, biological, and technical data using Common Data Elements (CDEs).
- Develop and use automated systems to extract, manage, and analyze unstructured medical data with Natural Language Processing (NLP).
- Use Large Language Models (LLMs) and agentic AI frameworks for automated data extraction.
- Conduct retrospective analyses of clinical data to support AI and clinical projects, working with large clinical databases like NIS, NSQIP, or SEER.
- Act as a link between clinical needs and technical solutions by translating complex medical workflows into strong data structures.
- Be part of a research team that works across disciplines in a top university hospital.
What you bring
- MD, M.Sc, or PhD degree in Health Informatics, Computer Science, Data Science, Medicine, Computational Biology, Biomedical Engineering, or a related field.
- Strong technical background in data engineering or data science and medical or clinical knowledge.
- Proven experience in data semantics, data definition, and health data structuring.
- Solid background in machine learning and deep learning, especially with NLP and LLMs for medical or biological data.
- A portfolio of software, open-source projects, or AI platforms (like GitHub) is highly desired.
- Fluent in English (speaking and writing).
- Experience in clinical oncology workflows or at comprehensive cancer centers is a plus.
What we offer
- 2-year position with possible extension, role as researcher or research assistant based on experience.
- Work in a multidisciplinary team at the crossroads of medicine and computer science.
- Access to large clinical datasets, expert medical annotations, and advanced computational infrastructure.
- Support for conference participation and mentoring opportunities.
- Chances to publish in high-impact clinical, technical, and interdisciplinary journals.
- Access to high-performance computing and clinical data environments at Inselspital and the University of Bern.
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Über uns
The Insel Gruppe is Switzerland's largest full-service medical care system, with over 11,000 employees from 102 nations. It brings together cutting-edge medicine and primary care across several hospitals, offering a dynamic and innovative environment for research and clinical care.
Das Team
Work with a dynamic, multidisciplinary research team at the interface of medicine and computer science, collaborating across fields in a leading university hospital.