Postdoc Biomedical Data Scientist

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research units throughout Germany and is a leading applied research organization. Around 32 000 employees work with an annual research budget of 3.4 billion euros.

Fraunhofer is one of Europe's largest and most well-known non-profit research organization. Fraunhofer's mission is to bridge academia and industry via translational research. Fraunhofer has been awarded as top employer in the categories "research" and "public sector" in 2019. The Fraunhofer Institute for Algorithms and Scientific Computing (SCAI) is part of the Fraunhofer Society, focuses on the development of innovative approaches in computational sciences and brings them into industrial practice. The institute has currently around 180 employees.

The AI & Data Science team within the Department of Bioinformatics 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 and the entire Department of Bioinformatics are 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 algorithms in the field of machine learning, specifically with focus on decision support in medicine

• Active support of ongoing research projects in the field of precision 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

Ihre Aufgaben

• Interesting and multifaceted projects right at the interface between academic and industrial research

• Excellent hardware and software infrastructure

• A young, 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 39 hours. This position is also available on a part-time basis. 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.

  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.

Ihr Profil

• 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 federated machine learning and generative AI techniques is a 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 healthcare 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

Kontakt

Prof. Dr. Holger Fröhlich

holger.froehlich@scai.fraunhofer.de

Please always submit your application online (www.scai.fraunhofer.de) and not via email.

Fraunhofer Institute for Algorithms and Scientific Computing SCAI

www.scai.fraunhofer.de