Development & application of innovative algorithms in the field of machine learning, specifically with focus on decision support in medicine and healthcare in the wider sense
Active support of ongoing research projects in generative AI for real-world data applications in medicine
Active support of team leader in terms of acquisition of new projects and technology transfer into pharma and biotech industry
PhD (preferred) and M.Sc. with excellent grades in Computer Science, Bioinformatics, Biomathematics or a similar subject
Clear understanding of statistical and mathematical concepts underlying Data Science
Strong passion for Data Science with documented experiences plus an equally strong and documented interest in biomedicine
Documented experience with relevant biomedical data types, e.g. longitudinal clinical data studies, clinical real-world data such as electronic health records, or data from digital health applications
Strong programming skills in python and demonstratable experience with Tensor Flow and / or PyTorch
Very good English speaking and writing skills
Good German language skills are a plus
Interesting and multifaceted projects right at the interface between academic and industrial research
Excellent hardware and software infrastructure
A highly enthusiastic international team
Possibilities for personal development and qualification
Possibility to become part of an international network of excellent researchers
Flexible working time and part time contracts
Family support
This position is also available on a part-time basis. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components.