Job
In this role, you will be responsible for the development and implementation of deep learning pipelines for CT and MRI, lead interdisciplinary teams, and transform clinical prototypes into market-ready AI solutions.
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Your role in the team
- You will take full end-to-end responsibility for production-ready deep learning pipelines (focusing on CT and MRI) - from multi-institutional DICOM/FHIR data preparation, training and validation, to containerized deployment.
- They lead Software/ML Engineers technically, share their knowledge, and keep the interdisciplinary team coherent, high-performing, and focused.
- They quickly translate clinical questions into robust prototypes and develop them into competitive AI solutions.
- They are building reusable, privacy-compliant infrastructure and scalable deployment paths for the entire RACOON network.
- They contribute to top publications while maintaining a clear focus on real clinical impact (RACOON and related projects).
Our expectations of you
Qualifications
- Already successfully completed substantial end-to-end projects.
- Verifiable impulses from the commercial environment or the startup sector (delivery capability under real framework conditions, product understanding).
- Strong academic background (Master's degree or higher in (Medical) Informatics, Physics, Mathematics, Data Science, or a related field) preferred.
- Self-reliant, highly motivated, and systemic thinker – you bring interdisciplinary teams together and keep them productive even in uncertain situations.
- A valid proof of measles immunity / measles vaccination is required due to legal regulations.
Experience
- Proven experience in leading or coordinating software engineers or technical teams.
- Expertise in Python as well as modern deep learning frameworks (PyTorch or TensorFlow); experience with medical imaging data (DICOM) and production-ready pipelines is a plus.
What we offer
- The position is initially limited to 12 months, with an extension being sought.
- 30 days of vacation, 38.5 hours/week, annual bonus, company pension scheme.
- Free nationwide ticket for Hessen.
- Unique access to national, multi-institutional image and clinical data via the RACOON infrastructure.
- High autonomy and scope for design in a young, dynamic team with an unusually long-term perspective.
- The opportunity to bring AI from research through clinical application to potential commercialization.
- Close collaboration with radiologists and partners at 39 university hospitals - with visibility in top venues (RSNA, ECR, MICCAI).
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
Das Universitätsklinikum Frankfurt besteht seit 1914 und unsere rund 6.500 Beschäftigte bringen sich mit ihrem Können und Wissen an den 32 Fachkliniken, klinisch theoretischen Instituten und in den Dezernaten ein.
- Established Company
- Onsite
- Healthcare, Social Sector · Science, Research
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