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Company Description

with the option to write a M.Sc. thesis. Located in Berlin or Heidelberg (6 months)

medneo revolutionizes diagnostic imaging – as the operator of diagnostic platforms in the inpatient and outpatient area. Instead of today’s system of buying expensive medical equipment, customers buy from us clinical images – as a service. We call this “Radiology as a Service”. This means that we, as a company, handle large number of medical image data (MRI, CT, X-ray) across multiple sites which are available to advance our service. Join temporarily medneo´s Digital Imaging Innovation Group to help building the most advanced image quality management system for MRI and CT on this planet! We are an agile group of engineers and scientists at medneo who are exploring new ideas to enhance the radiology workflow and apply new image processing technologies to support physicians in making better and faster decisions. 

As part of our core research team you will be able to advance your experience in medical imaging by developing new technologies on real life MR, CT, or X-ray data. Our multi-center approach is the perfect platform to scale up scientific studies and to test early prototypes in practice. Ideally, your internship will be completed with a draft scientific paper ready for submission. Students who plan to write their MSc thesis in parallel to their internship are very much welcome! 

Job Description

What we look for in you

  • Currently pursuing a M.Sc. or PhD degree, for instance, in Computer Science, Mathematics, Applied Sciences, Physics, or Computational Neurology
  • Understanding of MR and CT imaging
  • Hands-on software engineering experience using one or more programming language to work with image data such as: Python, Java, C++, or any other advanced programming language.
  • Knowledge of using git 
  • European citizenship or work-permit in Germany
  • Passionate about medical 3D image analysis
  • Focus on one of the following topics:
    • Image acquisition or image reconstruction
    • Image artifact detection and reduction
    • Image quality assurance
    • Image computing and analysis
    • Machine learning including deep learning

Bonus Points

  • Experience in modern software engineering tools, like jenkins, docker, etc.
  • Knowledge of web techniques like React, Redux, Swagger, Flask is a plus
  • Previously developed an open source project, for example, on GitHub (please add a link to your projects in your CV)
  • Experience in setting up CNNs
  • Previous publications in the field of medical imaging
  • Previously worked with some medical toolkits like VTK, ITK, dcmtk, pythonirh, TensorFlow, dltk, NumPy, SciPy, MedPy, or Pypx
  • DICOM knowledge


    medneo offers

    • a remunerated internship either (a) part- time (up to 20 hours per week) for up to six month or (b) full-time over for three months
    • Opportunity to complete your M.Sc. thesis within an a corporate environment in the health care sector
    • Exposure to  real-life challenges and close interaction with the daily routine of a  radiological center and
    • Full access to our large medical research image database (MR, CT, X-ray images)
    • An enthusiastic team of passionate thinkers which provide the support you need to achieve your internship goals
    • Established, stable and well-funded, fast growing company

    Additional Information


    We look forward to receiving your application via the “Apply Now” button.

    Your contact if you have any questions:

    Juliane Schmidt
    Talent Acquisition Manager
    phone: +49 170 244 74 91

    Englisch, System-Administrator, Support, Agile, Data-Mining, Software-Support, Service, Service-Manager, Service-Management,, Empfehlungsbund