Software Engineer/Developer (m/f/d)

Universitätsklinikum Bonn; Bonn; Vor Ort; EUR 55.000 - 68.000; Vollzeit

Benefits dieser Stelle

TV-L E-13 contract

2-year fixed-term

Conference attendance (MICCAI, CVPR)

NVIDIA DGX H200/B200 access

Team collaboration across AI research

Annual bonus (TV-L)

Company pension plan

Flexible working time models

Daycare center access

Parental leave return programs

Excellent public transport connections

Training opportunities and onboarding

Health and wellness programs

Corporate employee benefits

Zusammenfassung

University Hospital Bonn (UKB) hires a Software Engineer/Developer (m/f/d) to join the Division for Computational Radiology & Clinical AI (CCIBonn.ai) for a 2‑year full‑time fixed‑term position. You will build and maintain software for medical AI, integrating tools like ADIT and RADIS, collaborating with researchers and clinicians.

Requirements include a Master's degree in CS or related field, strong Python/TypeScript/Rust, and experience with Django, PostgreSQL, Docker, and PyTorch; German at

Qualifikationen

• Master's degree in computer science, software engineering, or a related field.
• Documented contributions to open-source projects with links to GitHub or GitLab.
• Proficiency in Python, TypeScript, and/or Rust.
• Experience with Django, pytest, PostgreSQL, Docker, PyTorch is advantageous.
• German language proficiency at least B2; excellent English communication.

Aufgaben

• Develop, test, and maintain software for computational radiology and medical AI.
• Program backend and frontend code for tools like ADIT and RADIS.
• Collaborate with researchers and clinicians to implement features.
• Write technical documentation.

Kenntnisse

German (B2+)

English proficiency

Team collaboration

Ausbildung

Master's degree in computer science or related field

Tools

Django

pytest

PostgreSQL

Docker

PyTorch

DICOM

Jobbeschreibung

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.

Software Engineer/Developer (m/f/d)

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. The position is limited to 2 years.

Tasks

• Develop, test, and maintain software applications for computational radiology and medical AI
• Program 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 features
• Write 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 application
• Proficiency in web programming and expertise in programming languages such as Python, TypeScript, and/or Rust
• Experience with tools and frameworks such as Django, pytest, PostgreSQL, Docker, and PyTorch is advantageous
• Knowledge 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 plus
• Strong problem-solving skills and the ability to work collaboratively within a multidisciplinary team
• German 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 considered
• Excellent 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 team
• Fair compensation: Pay according to the TV-L EG13 collective agreement, including annual bonus and company pension scheme
• Family-friendly flexibility: Flexible working time models, access to a place in our company daycare center, and programs supporting employees returning from parental leave
• Smart commuting: Excellent connection to the SWB public transport
• Supported development: Individual training opportunities through courses, e-learning programs, and coaching sessions
• Structured onboarding: A systematic introduction to your new role and team
• Healthy at work: A wide range of health and wellness programs, plus free membership at the UKB fitness studio
• Employee 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.

Division for Computational Radiology & Clinical AI
University Hospital Bonn
Baunscheidtstraße 17
53113 Bonn
E-Mail: [e-mail]
www.ccibonn.ai