Job
You coordinate collaboration between medical and technical experts, build data pipelines for AI models, and ensure successful integration into clinical workflows.
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Job technologies
Your role in the team
- Orchestration of collaboration between ML engineers, clinical researchers, IT infrastructure, and RACOON consortium partners from over 38 institutions.
- Translation of clinical requirements into technical specifications as a central interface between radiology and AI development.
- Navigation in academic-medical hierarchies while maintaining operational efficiency.
- Coordination of project milestones and reporting for BMBF-funded projects (RACOON, COMPARE, ENRICH).
- Building scalable workflows for data pipelines, model development, and deployment.
- Designing a team culture focused on ownership, rapid iteration, and translation-oriented research.
- Mentoring of master's students, doctoral candidates, and junior team members.
- Coordination of technical infrastructure: prioritization and management of GPU compute resources, training, and deployment environments.
- Establishment of common standards for medical data processing (DICOM, FHIR), containerization, model versioning.
- Identification of medically relevant solutions and coordination of early prototype development.
- Ensuring that AI models are not only publishable but also practically implementable in clinical workflows.
- Opportunity for promotion by individual arrangement.
Our expectations of you
Education
- Master's degree in (Medical) Informatics, Physics, Mathematics, Data Science, or a comparable field.
- Understanding of medical data standards (DICOM, FHIR) and data protection requirements.
Qualifications
- Proven ability to translate between clinical-medical and technical-engineering domains.
- Confident in handling Linux environments, Bash scripting, containerization (Docker, Singularity).
- Excellent communication with clinicians, engineers, administrators, and funders.
- Independent and solution-oriented even with limited infrastructure support.
- Very good knowledge of German as well as good knowledge of English.
- A valid proof of measles immunity / measles vaccination is required due to legal regulations.
Experience
- 3+ years of experience in coordinating technical teams or complex multi-stakeholder projects.
- Strong programming skills in Python with experience in modern ML frameworks (PyTorch, TensorFlow).
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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