Postdoc Biomedical Data Scientist

The Fraunhofer Institute for Algorithms and Scientific Computing SCAI in Sankt Augustin, near Bonn, has around 180 employees who research and develop innovative methods in the field of computational science and implement them in industrial practice as partners to industry.   The Biomedical AI & Data Science team is dedicated to the development and application of cutting-edge data science approaches (specifically machine learning) in early drug discovery, precision medicine and clinical trials. The team is internationally well connected and is working closely together with leading European and US institutions from academia and industry in multiple research projects.   What you will do 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 federated machine learning for real-world data applications in medicine Presentation of results via scientific publications, workshops and conferences as well as to external collaboration partners Active support of team leader in terms of acquisition of new projects and technology transfer into pharma and biotech industry Active colaboration with and support of other team members, for example regarding publications and code development   What you bring to the table PhD and M.sc. with excellent grades in Computer Science, Bioinformatics, Biomathematics or a similar subject Competitive scientific publication record High level of intrinsic motivation and enthusiasm for translational research connecting academia and industry 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 Experience with generative AI, specifically transformer architectures, is a strong plus Documented experience with relevant biomedical data types, e.g. longitudinal clinical data, clinical real-world data such as electronic health records, genomic data, or data from digital health applications Strong programming skills in python and demonstratable experience with Tensor Flow and / or PyTorch Ability to work independently Very good English speaking and writing skills Very good communication skills   What you can expect 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 Nice atmosphere within a unique environment containing a castle Various offerings of sports and healthcare activities   The weekly working time is 10 hours. We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD). Additionally Fraunhofer may grant performance-based variable remuneration components. Female scientists are particularly encouraged to apply . With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.  Interested? Apply online now. We look forward to getting to know you         The successful candidate will initially receive a fixed term contract for 2 years.   Questions according to this position are answered by: Prof. Dr. Holger Fröhlich     Fraunhofer Institute for Algorithms and Scientific Computing SCAI    Requisition Number: 82520                Application Deadline: 01/05/2026