Software Engineer/Developer (m/f/d)

The University Hospital Bonn (UKB) is one of Germany’s leading university hospitals, combining top-level performance in medicine and research with excellence in teaching. Each year, more than half a million patients receive inpatient and outpatient care at the UKB. Around 3,500 students study medicine and dentistry here, and over 600 people are trained annually in healthcare professions. With approximately 9,900 employees, the UKB is the third-largest employer in the Bonn/Rhein-Sieg region. In the Focus hospital ranking, the UKB ranks first among university hospitals in North Rhine-Westphalia and second nationwide in terms of case mix index (case severity). In 2024, the UKB raised nearly €100 million in third-party funding for research, development, and teaching. The F.A.Z. Institute has named the UKB “Germany’s Training Champion” and “Germany’s Most Attractive Employer” for the fourth consecutive year. The following full-time (38.5 hours/week) position is to be filled as soon as possible in the Division for Computational Radiology & Clinical AI (CCIBonn.ai) of the University Hospital Bonn: Software Engineer/Developer (m/f/d) The position is limited to 2 years. We, at the division for Computational Radiology & Clinical AI (CCIBonn.ai) at the University Hospital Bonn / University of Bonn (PI: Philipp Vollmuth - Full Professor of AI in Medical Imaging), are seeking applications for Software Engineer positions to support our software platform team. Our research group has consistently contributed to leading journals and conferences, and we are developing a range of tools to support our research projects. You can check out our work on our GitHub organizations (OpenRadX and CCIBonn). This opportunity offers a unique chance to work at the forefront of medical AI and contribute to substantial advancement in the medical field. You will be part of a dynamic team that bridges the gap between cutting-edge AI research and clinical application, ensuring that our software tools are robust, efficient, and user-friendly. Tasks: Develop, test, and maintain software applications for computational radiology and medical AIProgram backend and frontend code for tools like ADIT (Automated DICOM Transfer Tool) and RADIS (Radiology Report Archive and Discovery System)Work closely with researchers and clinicians to implement and enhance application featuresWrite technical documentation Requirements: A master’s degree in computer science, software engineering, or a related field.Documented contributions to open-source projects (own repositories or significant contributions to established projects) are required. Please provide links to relevant GitHub or GitLab profiles in your applicationProficiency in web programming and expertise in programming languages such as Python, TypeScript, and/or RustExperience with tools and frameworks such as Django, pytest, PostgreSQL, Docker, and PyTorch is advantageousKnowledge of medical imaging data, DICOM standards, NLP, full-text search, semantic search, RAG, fine-tuning of deep learning models, and agentic engineering is considered a plusStrong problem-solving skills and the ability to work collaboratively within a multidisciplinary teamGerman language proficiency at B2 level or higher is mandatory. Applicants must be able to communicate fluently in spoken and written German in a clinical and technical environment. Applications without demonstrated B2-level proficiency in German will not be consideredExcellent communication skills in English, both written and verbal We offer: Competitive 2 years 100% contract within TV-L E-13 standard, with the possibility for extension.Exclusive access to the latest and powerful computing resources (NVIDIA DGX H200 and B200 clusters).Collaborate with a dynamic and multidisciplinary team bridging AI research and clinical application.Opportunities to attend national and international conferences (e.g. MICCAI, CVPR)Responsible and diverse: A position with plenty of room for creativity and responsibility within a supportive and collegial teamFair compensation: Pay according to the TV-L EG13 collective agreement, including annual bonus and company pension schemeFamily-friendly flexibility: Flexible working time models, access to a place in our company daycare center, and programs supporting employees returning from parental leaveSmart commuting: Excellent connection to the SWB public transportSupported development: Individual training opportunities through courses, e-learning programs, and coaching sessionsStructured onboarding: A systematic introduction to your new role and teamHealthy at work: A wide range of health and wellness programs, plus free membership at the UKB fitness studioEmployee benefits: Access to discounted offers for employees (corporate benefits) We are committed to diversity and equal opportunities. Our goal is to increase the proportion of women in areas where women are underrepresented and to particularly promote their careers. We therefore urge relevantly qualified women to apply. Applications are treated in accordance with the State Equal Opportunities Act. Applications from suitable people with proven severe disabilities and those of equal status are particularly welcome. How to apply: If you meet the above requirements, please send your complete application documents to contact@ccibonn.ai, including: ST-number 48006CVAcademic transcripts (including final grades)Proof of German proficiency at B2 level or higher (unless native speaker)GitHub or GitLab profile linkA short description (max. 1 page) of one software system personally designed and implemented, including technologies used and specific responsibilities Only applications including all required materials will be considered. Division for Computational Radiology & Clinical AI University Hospital Bonn Baunscheidtstraße 17 53113 Bonn E-Mail: contact@ccibonn.ai www.ccibonn.ai