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Universitätsmedizin Frankfurt

Right here, you're at the heart of tomorrow's medicine. Frankfurt University Hospital is one of the leading university hospitals in Germany. Over 8,500 people from more than 100 nations work together here. Turning knowledge into health – that's our daily motivation. We combine patient care with research and teaching, embrace progress, and continuously develop ourselves. In this way, we make a significant contribution to the health and quality of life of over 500,000 patients annually: competently, conscientiously, and with passion. Careers: In keeping with the diverse nature of university medicine, we are committed to generating and sharing knowledge. With our wide range of positions, apprenticeships, study programs, and internships, we aim to realize our central mission: "Turning knowledge into health." We also warmly welcome recent graduates. Check our job portal (Job Portal – UKF and You) to see if we currently have any suitable openings for you, or contact us directly. If you don't find a suitable job posting at the moment, we look forward to receiving your unsolicited application. Contact person: Communications Department – ​​kommunikation@unimedizin-ffm.de Employer Branding & Recruiting Team – bewerbung@unimedizin-ffm.de

02/01/2026
Full time
Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group
Universitätsmedizin Frankfurt Frankfurt am Main, Germany
...you're right in the middle of it We are seeking a Team Lead and Coordinator for the Machine Learning research group at the University Hospital Frankfurt am Main. Shape the future of medical AI research within the RACOON network – Germany's largest multicenter radiology research initiative with 38 university hospitals (https://racoon.network). You will coordinate strategic projects and lay the foundation for prototype medical AI solutions with real commercialization potential. The position is initially limited to 12 months. Your tasks: Strategic coordination & interface management Orchestration of the collaboration between ML engineers, clinical researchers, IT infrastructure and RACOON consortium partners of over 38 institutions Translating clinical requirements into technical specifications as a central interface between radiology and AI development Navigating academic and medical hierarchies while maintaining operational efficiency Coordination of...