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Biomedical Data Scientist (m / f / d)

Fraunhofer SCAI

Sankt Augustin

Vor Ort

EUR 60.000 - 80.000

Teilzeit

Vor 30+ Tagen

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Zusammenfassung

A leading research institution in Sankt Augustin is seeking a passionate individual for a role focused on developing innovative algorithms in machine learning. The ideal candidate should possess a Ph.D. or M.Sc. in a relevant field and have strong programming skills in Python. This position offers the chance to work on exciting projects at the intersection of academia and industry, supported by an enthusiastic international team.

Leistungen

Flexible working hours
Possibilities for personal development
Various offerings of sports and healthcare activities
Nice atmosphere in a unique environment

Qualifikationen

  • PhD (preferred) and M.Sc. with excellent grades.
  • Experience with generative AI, specifically transformer architectures.
  • Documented experience with relevant biomedical data types.
  • Ability to work independently.

Aufgaben

  • Development & application of innovative algorithms in machine learning.
  • Support ongoing research projects in generative AI.
  • Present results via publications and workshops.
  • Assist in acquisition of new projects.

Kenntnisse

Data Science
Machine Learning
Bioinformatics
Programming in Python
TensorFlow
PyTorch
Statistical concepts
English communication
German language skills

Ausbildung

Ph.D. or M.Sc. in Computer Science, Bioinformatics, or related fields
Jobbeschreibung

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.

Fraunhofer plays a central role in the innovation process 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. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

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