Fraunhofer SCAI
53757 Sankt Augustin - Deutschland
Datenbankentwickler/in
Arbeit
Vollzeit
ab 01.02.2026
Beschreibung
## 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 generative AI 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 proj... weiter lesen
- 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
- 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 proj... weiter lesen
## 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 generative AI 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 collaboration with the support of other team members, for example regarding publications and code development
## What you bring to the table
- PhD (preferred) and M.Sc. with excellent grades in Computer Science, Bioinformatics, Biomathematics or a similar subject
- 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 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
- Ability to work independently
- Very good English speaking and writing skills
- Good German language skills are a plus
- 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 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. 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.
- 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
- 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 collaboration with the support of other team members, for example regarding publications and code development
## What you bring to the table
- PhD (preferred) and M.Sc. with excellent grades in Computer Science, Bioinformatics, Biomathematics or a similar subject
- 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 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
- Ability to work independently
- Very good English speaking and writing skills
- Good German language skills are a plus
- 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 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. 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.
Ref-Nr.: 7199340
Aktualisiert:
03.02.2026
Quelle: Bundesagentur für Arbeit
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
weitere Infos Rechtliche Hinweise zur Nutzung
Ob die Stelle noch verfügbar ist und weitere Informationen findest du direkt auf der Website der Bundesagentur für Arbeit. Bitte beachte: OPROMA ist nicht der Anbieter dieser Stelle und kann keine Auskünfte geben.
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