Our Company

The University Hospital Düsseldorf (UKD) is the largest hospital in the state capital and one of the most important medical centers in North Rhine-Westphalia. The 9,300 employees at UKD and its subsidiaries are dedicated to ensuring that over 45,000 patients receive inpatient care and 270,000 receive outpatient care each year. The UKD stands for international excellence in patient care, research, and teaching, as well as for innovative and safe diagnostics, therapy, and prevention. Patients benefit from the intensive interdisciplinary collaboration among the 60 clinics and institutes. The University Hospital’s particular strength lies in the close integration of clinical practice and research to ensure the safe application of new methods. The medicine of tomorrow is being developed at the UKD. Every day.

The Institute for Diagnostic and Interventional Radiology at the University Hospital Düsseldorf has an opening to be filled as soon as possible for a

Computer Scientist / Data Scientist (m/f/d)

Full-time or part-time

The position is subject to the German Academic Fixed-Term Contract Act (WissZeitVG, pursuant to Section 2 (2)) and is initially limited in duration until the end of the project on June 30, 2030.

The position involves contributing to the development of the infrastructure for the RACOON project (www.racoon.network/) within the University Medicine Network (NUM Initiative) as well as the implementation of scientific and infrastructural projects at the Institute for Diagnostic and Interventional Radiology and in the Artificial Intelligence and Radiological Informatics sub-division. The sub-division’s goals include researching applications of artificial intelligence in radiology to improve medical diagnostics and care. In addition to developing corresponding predictive models, the focus is also on implementing AI-supported infrastructures.

Shape the future of digital medicine in one of Germany’s largest medical data ecosystems—at a leading university health center in North Rhine-Westphalia.

Your responsibilities:

• Infrastructure & IT
  • Assistance in setting up and maintaining the infrastructure of the RACOON project
  • Administration of technical infrastructures and data management at the Institute for Diagnostic and Interventional Radiology
  • Creating database queries, statistics, and analyses, as well as data modeling in accordance with medical standards (including DICOM, HL7, FHIR)
• Research & AI Development
  • Implementation of scientific research projects within the RACOON network
  • Contribution to the scientific development and implementation of AI-based models
  • Authoring scientific publications
• Project Management & Communication
  • Coordination of (sub)projects in the field of radiology
  • Internal and external communication with relevant departments in IT, research IT, the data integration center, third-party funding agencies, as well as hospital management and collaboration partners

Your Profile:

• Completed university degree (MSc or Diplom) in computer science, data science, or related fields
• Research experience and/or experience in project management, with an interest in further developing skills in the other area
• Solid knowledge and practical experience in artificial intelligence methods, particularly machine learning, deep neural networks (deep learning), and generative AI
• Relevant programming experience (including Python, scikit-learn, PyTorch / TensorFlow / Keras)
• Solid knowledge and experience in system administration and with Windows and Linux operating systems
• Initiative, commitment, and the ability to collaborate
• A structured and independent work style, as well as openness to cooperative collaboration in interdisciplinary teams
• Strong communication skills and excellent written and spoken German and English

We offer:

• Full-time or part-time employment
• A diverse role with significant creative freedom at the cutting-edge intersection of research, technology, and patient care
• Flexible working hours
• Work with large medical datasets and access to high-performance computing (HPC) / GPU infrastructure
• Collaboration within the national network (NUM)
• Support for publications & conference participation
• Opportunity to pursue a Ph.D.
• Secure and performance-based compensation according to the collective bargaining agreement (TV-L), including supplementary pension benefits in the public sector (VBL)
• Opportunity to participate in the wide range of continuing education programs offered by Heinrich Heine University and the University Hospital Düsseldorf
• Attractive employee discounts (staff cafeteria, health promotion, corporate benefits & Gympass, and much more)

Compensation is based on TV-L in pay grade 13, with all prior service credited in accordance with collective bargaining regulations.

The employment contract is concluded with Heinrich Heine University Düsseldorf.

Our Company

The University Hospital Düsseldorf (UKD) is the largest hospital in the state capital and one of the most important medical centers in North Rhine-Westphalia. The 9,300 employees at UKD and its subsidiaries are dedicated to ensuring that over 45,000 patients receive inpatient care and 270,000 receive outpatient care each year. The UKD stands for international excellence in patient care, research, and teaching, as well as for innovative and safe diagnostics, therapy, and prevention. Patients benefit from the intensive interdisciplinary collaboration among the 60 clinics and institutes. The University Hospital’s particular strength lies in the close integration of clinical practice and research to ensure the safe application of new methods. Tomorrow’s medicine is being developed at the UKD. Every day.

Apply

Contact

Please submit your written application with the standard application documents within two weeks of this ad’s publication, preferably by email to the following address:

bewerbungen@med.uni-duesseldorf.de or
University Hospital Düsseldorf
D 01.2.1 – Reference number: 264E/26
Moorenstr. 5, 40225 Düsseldorf

Heinrich Heine University Düsseldorf strives to increase the proportion of women. Applications from women will therefore be given preferential consideration if they have the same qualifications, skills, and professional achievements, unless there are compelling reasons related to a male candidate. Heinrich Heine University upholds the principle of excellence through diversity. It has signed the “Diversity Charter” and successfully participated in the Stifterverband’s “Shaping Diversity” audit. It is certified as a family-friendly university and promotes the compatibility of career/academic life and family. Applications from qualified individuals with severe disabilities and those deemed equivalent under SGB IX are encouraged. The position is generally suitable for part-time employment.

By submitting their application materials, the applicant agrees that these become the property of the University Hospital Düsseldorf and will not be returned for cost reasons.

If you have any further questions, please contact: Univ.-Prof. Dr. med. Gerald Antoch

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