Application deadline: August 31, 2025

The Institute for Medical Data Science at the University Hospital Würzburg is now looking for a

Computer Scientist – Focus on Machine Learning in Medicine (f/m/d)

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.

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.

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.

• 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