• Enrolled student in Biomedical Informatics, Computer Science, Information Systems, Data Science, or a related field
• Basic programming skills (e.g., Python, SQL; experience in web development or ML is a plus)
• Strong interest in data integration, AI, and healthcare data science
• Good organizational skills and willingness to take on coordination tasks
• Strong communication skills and motivation to work in an interdisciplinary team
• Very good command of English; German skills are beneficial but not required

• Contribute to the development of ETL pipelines, APIs, and integration tools for clinical data.
• Support the creation of dashboards and prototypes for clinical use cases (e.g., visual analytics, predictive models)
• Participate in AI experiments (e.g., anomaly detection, generative AI  for patient summaries)

Project coordination & organization

• Assist the project management team with planning, documentation and reporting
• Help prepare and follow up on meetings and workshops with clinical and research partners
• Contribute to presentations, reports, and publications
• Support communication with internal and external project partners

• Research emerging technologies, standards (FAIR, HL7 FHIR, openEHR), and best practices
• Assist in preparing outputs for conferences and publications

• Flexible working hours of up to 19 hours/week – easily combined with your studies
• The chance to contribute to a nationally funded research project with high societal relevance
• Insights into the interface between research, IT, and clinical practice
• Hands-on experience in data engineering, AI, project management, and coordination
• Opportunities to contribute to prototypes, publications, and workshops
• A modern, diverse, and family-friendly working environment at University Hospital Cologne

As part of the nationally funded project DICE-CD (Data Innovations in Collaborative Ecosystems for Clinical Domains), the Institute for Biomedical Informatics (BI-K) at the University Hospital Cologne collaborates with leading partners such as Charité Berlin, national research institutes, and industry players to develop a reference
architecture for clinical data platforms.
The project’s goal is to build a modular, interoperable data ecosystem that enables end-to-end integration of clinical data and supports the use of state-of-the-art AI and analytics in real-world patient care. Together with clinicians, researchers, and technology providers, we validate these solutions in practice – starting with rare disease pathways such as ADPKD.
As a student assistant, you will support our team in both technical development and project coordination. This is a unique opportunity to gain hands-on experience at the intersection of computer science, medicine, and project management.