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Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group

Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group

Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group

Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group

Universitätsmedizin Frankfurt

Gesundheit, Soziales

Frankfurt am Main

  • Art der Beschäftigung: Teilzeit
  • 63.500 € – 84.500 € (von XING geschätzt)
  • Vor Ort
  • Aktiv auf der Suche

Team Lead & Coordinator Machine Learning - Radiology AI - Machine Learning Working Group

Über diesen Job

Job Description

...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 project milestones and reporting for BMBF-funded projects (RACOON, COMPARE, ENRICH)

Team Culture & Process Development

  • Building scalable workflows for data pipelines, model development, and deployment
  • Designing a team culture with a focus on ownership, rapid iteration, and translation-oriented research
  • Mentoring of master's students, doctoral candidates and junior team members

Infrastructure planning & resource management

  • 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

Prototype translation

  • Identification of medically relevant solutions and coordination of early prototype development
  • Ensuring that AI models are not only publishable, but actually implementable in clinical workflows
  • Opportunity for doctoral studies by individual arrangement
...your profile is in demand

Education & Experience

  • Master's degree in (medical) informatics, physics, mathematics, data science or comparable field
  • 3+ years of experience in coordinating technical teams or complex multi-stakeholder projects
  • Demonstrable ability to translate between clinical-medical and technical-engineering domains

Technical Foundation

  • Strong programming skills in Python with experience in modern ML frameworks (PyTorch, TensorFlow)
  • Proficient in using Linux environments, Bash scripting, containerization (Docker, Singularity)
  • Understanding of medical data standards (DICOM, FHIR) and data protection requirements

Soft Skills & Working Method

  • Excellent communication with clinicians, engineers, administrators and funders
  • Independent and solution-oriented even with limited infrastructure support
  • Excellent German skills and good English skills
  • Due to legal regulations, valid proof of measles immunity / measles vaccination is required.
... you will be offered a lot
  • Collective agreement TV-UKF
  • 30 days of vacation, 38.5 hours/week, annual bonus, company pension scheme
  • Free state ticket for Hesse
  • Mobile working
  • University hospital campus, cafeteria, cafés
  • Work-life balance, part-time opportunities
  • Health promotion
  • Corporate Benefits: Discounts and special offers from popular brands for our employees
  • Childcare places, holiday care (information available from the family service)
  • Insights: Instagram, YouTube, LinkedIn
  • FAQs for new employees
Become part of our team now!

Contact:Dr. Andreas Bucher
Email:bucher@med.uni-frankfurt.de
Application deadline:January 31, 2026

Documents:

  • CV
  • Cover letter including motivation and, if applicable, relevant prior experience
  • Employment references and certificates of degrees and any additional qualifications.
  • Information on extracurricular activities

This job posting is open to applicants of all genders. Women are underrepresented in these positions at Frankfurt University Hospital. Therefore, applications from women are particularly welcome. Applicants with disabilities will be given preference if they possess equal personal and professional qualifications.

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Gehalts-Prognose

Unternehmens-Details

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Universitätsmedizin Frankfurt

Gesundheit, Soziales

5.001-10.000 Mitarbeitende

Frankfurt am Main, Deutschland

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