We want to improve the lives of patients.

Every day. Worldwide.

Our goal is to sustainably improve the lives of patients with chronic kidney failure – with data, algorithms and artificial intelligence.

As a global innovation unit of Fresenius Medical Care, we use access to a unique data pool. We are the only company that combines development, operation and application of dialysis machines under one roof, and provides access to comprehensive technical and medical data.

We develop innovative solutions for patients, doctors and clinics. To this end, we are making our dialysis machines more intelligent, aiming at making better therapies available to all people worldwide in the future.

Our Team

Dr. Matthias Kuss Leadership

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Fiona Wille Data Scientist

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Max Botler Data Scientist

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Felix Adam Data Scientist

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Lena Scherer Master's degree candidate

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Interviews

Dr. Matthias Kuss Leadership

Data Solutions is part of Global Research & Development at Fresenius Medical Care. We draw on a global network of excellent engineers and therapy developers and support them in making our devices even "smarter".

Fiona Wille Data Scientist

The large number and diversity of projects allows us to get to know different perspectives on certain topics. There are the needs of the patients, the everyday work of the doctors and then there is the technical dimension, which has certain potentials but also its limitations. In addition, there is the chance to take on different tasks within the data science projects.

Max Botler Data Scientist

The most important aspect is certainly that our work is directly aimed at the well-being of the patients. On the technical level, we work along the entire pipeline, from the first concepts to the implementation of finished products.

Felix Adam Data Scientist

I am responsible for my own projects and can therefore develop my skills in data science and beyond. This includes working with data and developing models, but also communicating with doctors and engineers. It is particularly exciting to be there the whole way: from a first idea to a finished data science product.