Biomedical Data Science

Head // Dr. Georg Zimmermann MSc, BA

The Biomedical Data Science Research Program brings together expertise in statistics and data science across the areas of clinical and preclinical study design, bioinformatics, and big medical data. The core mission is to develop and implement collaborative projects focused on data-driven biostatistical consulting and methodological research. By doing so, the program supports the advancement of evidence-based and personalized medicine and pharmacy, contributing to building interdisciplinary bridges within the life sciences.

The Biomedical Data Science Research Program focuses on two main areas: developing innovative methods for study design and data analysis, and providing statistical consulting for a wide range of clinical applications. This is reflected in our many third-party-funded projects, which emphasize a solid, theory-based approach to the (bio-)statistical analysis of clinically relevant questions.

Our strong statistical expertise enables us to collaborate with a variety of partners, using cutting-edge methods across different scales—from small sample sizes to large medical data sets—and covering everything from classical statistics to data science and artificial intelligence.

We work closely with key data science research partners, including the Paris-Lodron University of Salzburg, as well as internationally renowned institutions like iBikE at Charité – Universitätsmedizin Berlin and I-BioStat at KU Leuven, to maximize synergies.

Our research focuses include:

Statistical methods development especially for small sample sizes.
Big medical data - developing multivariable prediction models / scores and analyzing clinical routine data.