Chair of Medical Data Science (pay grade W3)

The Faculty of Computer Science and Mathematics at the University of Passau invites applications for the tenured civil-service post of:

Chair of Medical Data Science (pay grade W3)

We are seeking a candidate with an outstanding international academic track record in modern subfields of medical data science, whose research should be focused on the development and application of statistical methods for the analysis of complex biomedical data, whilst placing a particular emphasis on translational orientation and close alignment with clinical questions.

The Chair’s research activities will have an expressly close connection to medicine, as demonstrated by relevant scientific publications, including in medical or health-science contexts. Moreover, the Chair will actively contribute to the Institute of Health Sciences (IGW) and play a pivotal role in its development, ensuring its successful launch, academic growth and external recognition. In this capacity, the Chair will contribute significantly to the integration of medical, health-science and data-science perspectives and will strengthen the University's interdisciplinary profile in health and medicine.

The Chair will offer statistical consultancy to all IGW partners, external collaborators and medical doctoral candidates. This includes the development and application of suitable statistical models, the analysis of complex datasets and advice on study designs and empirical analyses.

The postholder will represent the subject in research and teaching. In teaching, he or she is expected to deliver courses in epidemiology, medical biometry and medical informatics in accordance with the ÄApprO (German licensing regulations for physicians), which are required for the Medizin Niederbayern degree programme within the framework of the MCN. The postholder is also expected to teach courses in the University’s interdisciplinary degree programmes – some of which are taught in English – and contribute to their design and further development.

An aptitude for university-level teaching and the ability to lead courses independently are key selection criteria. Regarding research, high-quality publications, integration into an international research environment and experience in securing national or international external funding are expected. Links to other research topics within the faculty and a willingness to engage in interdisciplinary collaboration within the faculty, the MCN and the IGW, as well as with industrial partners, are desirable.