Software Engineer (m/f/d)
for Artificial Intelligence focused medical research

  • University Hospital Würzburg - Medical Clinic and Polyclinic II (ZIM)
  • 01.11.2024
  • Full-time
  • Fixed-Term

Application deadline: 31.07.2024

The Clinic for internal medicine II, gastroenterology of the university hospital Würzburg is looking for a

We offer

You will become fully acquainted with medical processes and working in an interdisciplinary team.
You will be a part of our international clinical research group and exchange ideas with physicians, nurses, engineers and computer scientists.


Furthermore, we offer:

  • free Gym and other sport opportunities
  • internal residential market
  • own apartment-houses
  • attractive town in an superb surrounding (www.mainfranken.org)
  • childcare facilities nearby the hospital with advanced opening hours
  • reduced parking fee
  • adequate payment
  • internal as well as external training opportunities
  • financial support for visiting conferences
  • company subscription for public transportation

Your Tasks

Our research projects are in a diverse field of activities embedded in a network of clinical centers all over Germany and are focused on improving patients care through    

  • Digitalization… to make data and research more accessible.
  • Deep Learning … to extract Information from various sources in order to understand diseases and improve patient care
  • 3D Printing … to develop new technologies like endoscopic tools

Your part in the team will be to improve our current IT-Infrastructure in order to meet requirements for upcoming projects:

  • Extending our current endoscopy database framework (Python, Django, PostgreSQL)
  • Work on frontend Webservices including annotation solutions and regular websites (Django, streamlit, prodigy)
  • Network administration (OpenVPN, basic network administration)
  • Develop AI-Applications (PyTorch, PyTorch Lightning, sklearn, SpaCy)
  • Help to connect clinical routine documentation and our research infrastructure (SAP, PostgreSQL, Nextcloud, NixOS)
  • Scientific work including planning, execution and evaluation of clinical studies with a digital focus
  • Analysis and publication of existing data from multicenter studies using machine learning

Your Profile

  • Academic degree in the fields of computer science OR engineering
  • Interest in scientific research with medical focus
  • Practical experience developing applications for data analysis, machine learning, MLOps / DevOps
  • Previous knowledge in database administration, especially involving SAP systems is highly preferential
  • Very good knowledge of English, both written and spoken (C1)
  • Interest in improving patient care through scientific work
  • High level of motivation, initiative and team orientation

This is what you can look forward to

  • Training and Continuing Education
  • Retirement Pension Plan
  • Flexible Working Hours
  • Collegiality
  • Sport and Fitness Options
  • Employee Events

Become part of the team: Apply now!

Dr. Thomas Lux
Assistenzarzt / Leiter der Studie ColoReg über die Gastroenteology Foundation
Tel: +49931 201 40247


Remuneration is in accordance with the relevant collective agreements. Severely disabled applicants will be given preference if they are otherwise equally qualified.

The University Hospital of Würzburg (UKW) offers an innovative and excellent working environment in cutting-edge medicine. Here, employees benefit from state-of-the-art technology, extensive training and career opportunities as well as flexible working time models for an optimal work-life balance. We attach great importance to diversity and inclusion in order to create a respectful and supportive working environment. A strong sense of community and interdisciplinary collaboration are central to our way of working. Würzburg, a city with a high quality of life, offers a wide range of cultural and leisure activities as well as excellent educational opportunities. The UKW takes responsibility for the health of society and promotes an environment that focuses on ethical values and social commitment. Become part of our team and help shape the future of medicine.