Address: Medizinische Fakultät
Geissweg 5/1
72076 Tübingen


Contact person

Person profile: Brigitte Lindenbauer


Phone number: +49 7071 29-77915


E-mail address: brigitte.lindenbauer@med.uni-tuebingen.de


Data Scientist

Data Scientist

Data Science is an interdisciplinary field of science that develops quantitative methods, processes, algorithms and systems for extracting insights, patterns, and inferences from both structured and unstructured data.

Medicine is one scientific domain that is increasingly benefitting from data science approaches. Technological advances in the fields of life science and medicine result in large volumes of medical data generated and stored in hospitals every day. This includes biological material, genetic and non-genetic health-related data (real-time values such as blood pressure or pulse, blood values, MRI data or answers to surveys, health status, disease-specific mortality rates, etc.).

Data science offers physicians the opportunity to interpret large amounts of such complex data, in particular to the end of prevention, observation, diagnosis and treatment of patients, as well as medical research and development, and this progress is expected to continue in the future. Thus, not only the medical staff, but above all the patients are expected to benefit from these ongoing developments.

The Talent Academy aims at fostering careers of data scientists in the field of medicine, as well as of physicians conducting research using data science. To this end the Talent Academy focuses primarily on supporting (cross-faculty) networks that are designed to connect the two disciplines.

Who to ask…

As it is often difficult for data scientists who are not already part of a larger network to find people to talk to and get support, here is an overview of who you can turn to for scientific/technical or career-related questions.

Upcoming networking events

New: Public Meeting of the Sub-Board Data Scientists

On Thursday, April 15, 2027 at 1 p.m., there will be a casual opportunity to connect with members of the Sub-Board “Data Scientists” to ask questions and exchange ideas.

No registration is required—simply join us via Zoom.


Please send your questions in advance to talent.academy@med.uni-tuebingen.de so that we can prepare accordingly.

What you need in your career as a data scientist

Being a data scientist in a medical environment requires a range of special skills and competencies which should be acquired at a certain stage in your career so that you can draw on them later on as your career progresses. The adjacent list provides an overview classified into different career stages and the applicable categories: compulsory (C), recommended (R), and optional (O).

Our tip: check our Event Database to see if a suitable course is listed for your needs.