Software Developer / Research Software Engineer for the Radiological Cooperative Network (RACOON) project

You will support the technical operation and further development of RACOON-AI as the central AI platform within the RACOON network. Your responsibilities will include, in particular:

• Further development of RACOON-AI through software development in the open-source toolkit Kaapana
• Integration, deployment, and maintenance of AI methods, analysis workflows, and containerized applications
• Supporting the translation of methods from medical image computing into the RACOON infrastructure at university hospitals
• Software-based integration of tools and concepts for processing multimodal medical data, including image data, structured clinical data, and other research-relevant data sources within the RACOON-AI platform
• Technical support for multicenter research projects, clinical trials, and medical use cases within the RACOON network
• Operation, maintenance, monitoring, and error analysis of RACOON AI instances, including central instances in RACOON-CENTRAL
• Second-level support for IT contacts at university hospitals and local IT teams regarding the operation, integration, and use of the platform
• Further development and maintenance of platform components in the context of Kubernetes, Helm, Docker/Podman, Apache Airflow, OpenSearch, dcm4chee, MinIO/S3, Keycloak, Prometheus/Grafana, and web-based user interfaces
• Creation and maintenance of technical documentation, operating manuals, and support materials
• Participation in project meetings, technical coordination sessions, and workshops
• Presenting the platform at events, networking sessions, and project meetings
• Contributing to reporting, planning, and technical coordination within the project, * Contributing to a nationwide research infrastructure highly relevant to medical imaging, AI, and data-driven clinical research
• Work on RACOON-AI as the central AI platform for multicenter research projects and clinical trials
• Opportunity to integrate innovative methods from medical image computing into the infrastructure of German university hospitals
• Work on a modern, containerized open-source platform based on Kaapana
• An interdisciplinary environment with experts from computer science, medical imaging, AI, radiology, and research data management
• Close collaboration with university hospitals, national project partners, and technical teams in the RACOON network
• Opportunity to shape the further development of a research platform in productive use
• A dynamic work environment at the intersection of research, software development, platform operations, support, and clinical application, * Your practical experience with software development, Linux, containerization, Kubernetes, DevOps, or platform operations
• Your experience in technical communication, support, documentation, or coordination with external partners
• Your interest in medical imaging, research infrastructures, the translation of AI methods, or multicenter clinical trials

Applications without a clear connection to these points can only be considered to a limited extent in the selection process.

What we offer:

• Excellent working conditions: state-of-the-art infrastructure and opportunities for high-level international collaboration
• 30 days of vacation
• Flexible work hours
• Compensation in accordance with the TV-L collective bargaining agreement, including an employer-sponsored pension plan and capital-forming benefits
• Option for part-time work
• Family-friendly work environment
• Sustainable commuting: discounted Germany Job Ticket
• Unlock your full potential: targeted programs for your personal development help you nurture your talents
• Our workplace health management program offers a comprehensive range of services for your well-being

• A completed master's degree in computer science, medical informatics, data science, mathematics, physics, engineering, or a related scientific or technical field
• Practical experience in software development, research software, platform operations, DevOps, or medical IT
• Experience with at least one of the programming languages Python or JavaScript/TypeScript
• Practical experience with Linux as well as modern container and cloud technologies, particularly Docker/Podman, OCI containers, Kubernetes, or Helm
• Ability to analyze technical problems in a structured manner, document them clearly, and solve them in collaboration with internal and external partners
• Willingness to engage in technical communication, provide support, and coordinate with university hospitals, IT managers at the respective locations, and project partners
• A meticulous, reliable, and structured approach to work
• Strong ability to work as part of a team in an interdisciplinary, cross-location project environment
• Business-level proficiency in German, at least at the C1 level
• Very good English skills for working in an international scientific and open-source environment

The following are considered a plus:

• Experience with Apache Airflow, OpenSearch, dcm4chee, MinIO/S3, Keycloak, Prometheus, Grafana, or comparable infrastructure components
• Experience with web-based UI frameworks such as Vue, React, or Svelte
• Knowledge of CI/CD, GitOps, monitoring, logging, REST APIs, or distributed platforms
• Knowledge of operating distributed IT infrastructures, particularly in the areas of network configuration, DNS, TLS/SSL certificates, reverse proxies, firewalls, VPN, proxy setups, or access control in clinical or institutional IT environments
• Experience with DICOM, PACS systems, FHIR, medical image data, or clinical research data
• Experience in machine learning, image computing, high-performance computing, or federated analysis and learning scenarios
• Experience with multicenter research projects, clinical trials, or medical research data infrastructures
• Experience in open-source software development, technical documentation, support processes, or training technical users

Das Deutsche Krebsfor­schungs­zentrum (DKFZ) ist das größte biomedi­zinische Forschungs­zentrum Deutschlands. Mit über 3.000 Beschäf­tigten betrei­ben wir ein umfang­reiches wissen­schaftliches Pro­gramm auf dem Gebiet der Krebs­forschung.