Research Assistant – Clinical Decision Support in Radiation Oncology

The Center for AI in Radiation Oncology (CAIRO) is seeking a motivated data engineer to support the development of a research data dashboard aimed at improving clinical decision‑making in head and neck cancer. This project is embedded within CAIRO’s structured clinical data initiatives and focuses on transforming routinely collected in‑house data into an intuitive, interactive tool for physicians. The goal is to enable data‑driven exploration of treatment strategies and patient outcomes in comparable cohorts.

You will contribute to the design, development, and validation of this dashboard in close collaboration with clinicians and data scientists.

• Develop and refine an interactive dashboard for clinical decision support
• Work with real‑world clinical and imaging data in a research setting
• Design and implement components of data pipelines, backend systems, and/or user interfaces
• Contribute to the publishing of the desinged tool
• Collaborate closely with clinicians and interdisciplinary research teams
• Translate complex datasets into meaningful clinical insights

• Bachelor's or Master's degree in data science, bioinformatics, biomedical engineering, computer science, medicine, or a related field
• Strong interest in programming, data analysis, or software development
• Solid coding experience for data processing and analytics (e.g., Python, R, or similar)
• Ideally, experience in developing graphical user interfaces (e.g. Apache Superset)
• Interest to work at the interface of healthcare and technology
• English in writing and speaking (international team)

• A dynamic and supportive research environment for early‑career professionals
• Collaboration within a young, motivated team
• Direct interaction with clinicians and exposure to real‑world clinical challenges
• Opportunity to contribute to a meaningful project with potential impact on patient care and publications

Research partnerships

• In partnership with the University of Bern, we offer the opportunity to participate in national and international research networks
• Continued wage and salary payments in case of illness or accident: 1st year 100 %, 2nd year 80 %
• 100 % of the daily sickness benefit insurance premium
• Generous child, education and family allowances

• Up to the age of 20: 27 working days
• Up to the age of 44: 25 working days
• From the age of 45: 27 working days
• From the age of 55: 32 working days
• Possibility to buy 5 or 10 additional vacation days
• Equal opportunities and diversity
• We promote a corporate culture which recognises the value of diversity as an asset
• We are committed to ensuring equality between men and women
• We do not tolerate discrimination in any form
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