Gestern

Software Engineer/Developer (m/f/d)

Universitätsklinikum Bonn AöR

Gesundheit, Soziales

Bonn
Vollzeit
58.000 € – 77.000 € (von XING geschätzt)

HybridZu den Ersten gehören

Über diesen Job

The University Hospital Bonn (UKB) is a maximum care hospital with more than 1,300 beds. Our more than 9,000 employees take on tasks in research, teaching and patient care as well as in public health at the highest level. In the science ranking (LOMV) and in the economic result, the UKB is number 1 of the university hospitals in NRW and in 2021 had the third highest case mix index of the university hospitals in Germany. The following full-time (38.5 hours/week) 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) Due to funding regulations, the position is limited to 3 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 various tools to support our research projects. You can check out our work on our GitHub organizations (OpenRadX (https://github.com/openradx) and CCIBonn (https://github.com/CCI-Bonn) ). 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 AI

· Program backend and frontend code for tools like ADIT (Automated DICOM Transfer Tool) (https://github.com/openradx/adit) and RADIS (Radiology Report Archive and Discovery System) (https://github.com/openradx/radis)

· Work closely with researchers and clinicians to implement and enhance application features

· Write technical documentation Requirements:

· A bachelor’s or master’s degree in computer science, software engineering, or a related field

· Proficiency in web programming and expertise in programming languages such as Python and JavaScript/TypeScript

· Experience with tools and frameworks such as Django, pytest, PostgreSQL, and Docker is advantageous

· Knowledge of medical imaging data, DICOM standards, and/or NLP is considered a plus

· Strong problem-solving skills and the ability to work collaboratively within a multidisciplinary team

· Excellent communication skills in English, both written and verbal We offer:

· Competitive 3 years contract within TV-L E10 resp. E13 (with Bachelor’s resp. Master’s degree)

· Exclusive access to the latest and powerful computing resources (Multiple NVIDIA DGX H100 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)

· Potential for being involved in industry collaborations

· Enjoy flexible working hours and the option for remote work or home office arrangements, ensuring work-life balance

· Support for professional development, such as earning certifications or attending lectures and workshops that match your interests.

· You'll have the opportunity to work on impactful open-source initiatives, collaborate with a global community, and advance your career in the dynamic field of medical AI 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:

Do you meet our requirements and are you looking for a varied and challenging job? Do not hesitate and send us your application to contact@ccibonn.ai (https://mailto:contact@ccibonn.ai) (CC: kai.schlamp@ukbonn.de (https://mailto:kai.schlamp@ukbonn.de) ) including your CV and a short cover letter about yourself (~ 1 page) until 08.07.2025. Division for Computational Radiology & Clinical AI