Application deadline: August 31, 2025
The Institute for Medical Data Science at the University Hospital Würzburg is now looking for a
We offer
Varied tasks: Work in an innovative research environment with exciting challenges and development opportunities.
Cutting-edge technologies: Use AI and data science methods to gain new insights in clinical and health services research.
Large-scale projects: Take on a role in a nationwide research project within the framework of the University Medicine Network (NUM).
Further qualification: Possibility of a doctorate or habilitation, e.g., through the Graduate School of Life Sciences (GSLS).
✍️ Publications & Conferences: Publish in high-ranking journals and participate in international conferences.
Flexibility: Flexible working hours and the option to work remotely.
Innovation: Work in a modern environment with a respectful working atmosphere.
Security: Company pension scheme (VBL) and other attractive employer benefits.
Your area of responsibility
Develop data pipelines: Plan, implement, and optimize data pipelines for analyzing large-scale medical data sets.
Apply AI methods: Use machine learning and deep learning for forecasting, pattern recognition, and predictive analytics.
Interdisciplinary collaboration: Work closely with biometricians, epidemiologists, and physicians.
✍️ Scientific contributions: Author publications and support teaching and medical doctoral theses.
Your profile
Qualification: Completed studies (Master/Diploma) in statistics, data science, computer science or a related field.
Technical skills: Experience with Python (e.g., scikit-learn, TensorFlow, PyTorch) or R. Knowledge of medical data analysis is a plus.
Soft skills: Analytical thinking, teamwork, initiative, and a structured way of working.
Language skills: Very good written and spoken English skills.
You can look forward to
* Challenging, diverse and developable field of work
* Attractive salary according to TV-L including annual bonus
* Training and further education in our own academy
* Company pension scheme
* Company daycare center with extended opening hours
* Company sports offers
* Flexible working hours thanks to flexitime arrangements
* Job bike
* Employee offers
Become part of the team: Apply now!
Prof. Dr. Rüdiger Pryss
Chair of Medical Informatics
Tel: +49931 201 46471
If you hold a university degree from a non-EU country, you will need a long version of your certificate evaluation from the Central Office for Foreign Education.
Remuneration is based on the applicable collective bargaining agreements. Severely disabled applicants will be given preference if they otherwise have essentially the same qualifications.