Senior Scientist "Digital Biomarkers Lead"

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 department Biomedical Data Science & AI 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 are 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 data analytical algorithms in medcine wieth specific focus on digital device technologies Active support of ongoing research projects in the department Guydance of younger scientists and support of other team members, for example regarding publications and code development Presentation of results via scientific publications, workshops and conferences as well as to external collaboration partners Acquisition of new projects and technology transfer into pharma and biotech industry in collaboration with the department head   What you bring to the table PhD and M.Sc. with excellent grades in Computer Science, Information Systems, Bioinformatics, Biomathematics or a similar subject Competitive scientific publication record High level of intrinsic motivation and enthusiasm for translational research connecting academia and industry Documented leadership experience, ideally as junior research group leader Documented experience with relevant data type collected by smartphones and wearable devices, ideally in the field of neurodegenerative deseases Documented experience with devoloping end-to-end software systems for healthcare applications Experience with clinical trials Strong programming skills in python Strong programming skills für mobile and server side software (e.g., Swift, Kotlin, Javascript) Documented teaching and student supervision experience at the intersection of health and computer science Ability to work independently Very good English and German speaking and writing skills Excellent 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 16 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 3 years.   Questions according to this position are answered by: Prof. Dr. Holger Fröhlich     Fraunhofer Institute for Algorithms and Scientific Computing SCAI    Requisition Number: 82230                Application Deadline: 12/31/2025