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Data Scientist (f/m/d) for Artificial Intelligence Products, Erlangen


Siemens ist mit 360'000 Mitarbeitenden der führende Technologiekonzern der Welt und auch einer der vielfältigsten und innovativsten. Kaum ein Unternehmen ist in so vielen Branchen und Märkten zu Hause: Umweltanliegen und wachsenden Energiebedarf miteinander in Einklang bringen. Effizientere, kostengünstigere und patientenfreundlichere Lösungen fürs Gesundheitswesen entwickeln. Zur Erhöhung der industriellen Produktivität beitragen. Gebäude energieeffizienter, sicherer und komfortabler machen und Städte lebenswerter gestalten. Das sind die Herausforderungen unserer Zeit, auf die wir gemeinsam mit Ihnen die Antworten suchen.

Your tasks and responsibilities

  • You will design efficient metrics / evaluation criterion to assess the performance, efficiency, stability, reliability, generalizability and explainability of AI algorithms by running technical and clinical studies
  • You will be responsible for proving the effectiveness and safety of the AI algorithms using scientific evaluation to support regulatory approval globally in different countries following different regulatory standards and guidelines to secure the certification of AI products
  • You will interface globally with product management, regulatory, cross-functional and external teams and clinical Key Opinion Leaders to understand and provide subject matter expertise of AI algorithms for clinical applications
  • You will leverage best practices in deep learning / machine learning in the product development cycle for conceptualization, development, integration for medical products and prototypes
  • You will facilitate the integration of the algorithms into the AI products
  • You will maintain a clear picture of evolving technology development and market trend in AI for medical applications
  • To find out more about the specific business, have a look at AI Rad Companion

Your qualifications

  • You possess a PhD in Computer Science/Engineering or related fields with focus on Machine Learning, Image Processing, Computer Vision, Medical Imaging or related domains
  • Alternatively, you hold a MSc with several years of relevant work experience with solving challenging real-world medical imaging / computer vision problems
  • You have a strong track-record of algorithm development in computer vision tasks such as image segmentation, registration, classification or clinical data analysis
  • You have gained experience in machine learning, preferably deep learning and statistical modelling with knowledge of deep learning frameworks (such as Tensorflow, Caffe, PyTorch, Keras etc.)
  • You have solid experience in scripting languages such as Python with experience in data science libraries such as NumPy, Scikit-learn, Pandas etc.
  • Your publication record in peer-reviewed journals and conferences such as IEEE TPAMI, IJCV, Medical Image Analysis, IEEE TMI, CVPR, ICCV, ECCV, MICCAI etc. is a plus
  • The knowledge about healthcare information protocols and developing solutions compliant with common interoperability standards (such as DICOM etc.) is a plus

Your attributes and skills

  • You score with the ability to communicate effectively (written and verbal) in English and provide high quality visual representations of achieved results
  • You bring a desire to constantly learn new technologies with a general passion for improving algorithms
  • You are enthusiastic, have a go-for-it attitude and want to deliver quickly to our customers and iterate fast. When you see something broken, you can't help but fix it. You like to collaborate, communicate and document your work so you don't need to learn the same thing twice and your peers can benefit
  • You are a team player and enjoy collaborating with cross-functional and international teams. You like to share your knowledge and experience. You have a holistic view to implement important strategic patterns within a bigger organization

Your Application