• 36 hours a week
  • Temporary
  • 1 year with intention to extend to 3 years
  • Scale 11: max € 68622 gross per year at full employment (incl. vacation bonus and end of year payments)
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Job description

The Diagnostic Image Analysis Group (DIAG) of the Radboud University Medical Center, Nijmegen, The Netherlands, is seeking a research software engineer to join our growing team. This is an excellent opportunity to have an impact on the field by translating our state-of-the-art deep learning research in ophthalmology into robust software that could be integrated into the ophthalmologists workflow.

In this position, you will be responsible for leading the development and managing the full lifecycle of our ophthalmology workstation. This includes understanding user needs, creating requirements, developing the workstation, integrating algorithms, automating tests, writing documentation, releasing, supporting users, maintenance and publication in peer-reviewed journals. You will work in the RSE team of DIAG, and work in close collaboration with deep learning algorithm developers and end users. You will be supervised by James Meakin, Clarisa Sánchez and Caroline Klaver.


You should have an MSc or PhD degree in Computer Science, Physics, Biomedical Engineering or another technical field or equivalent practical experience.
We’re looking for a self-motivated research software engineer with an interest in medical imaging and excellent communication skills in English. You should have experience with developing software that is used by others, any experience developing scientific software or open source software is a plus. You should be experienced in at least one high level programming language, preferably Python. You should be familiar with web technologies, and it would be advantageous if you have developed a server-side application or have experience with JavaScript, Qt, MeVisLab, WebSockets, and/or Docker.


Our group has a strong track record of developing and evaluating automatic algorithms for the analysis of retinal images in close collaboration with the Ophthalmology department at RadboudUMC. We have developed state-of-the-art deep learning algorithms for the screening of major eye diseases, such as diabetic retinopathy and age-related macular degeneration, as well for the detection and quantification of imaging biomarkers related to these diseases. These algorithms received interest from the medical image analysis and ophthalmology community, and we are therefore continuously improving and evaluating them in clinical observer studies. For this purpose, we are developing an efficient workstation for viewing and annotating multimodal retinal images in close collaboration with Fraunhofer MEVIS, Germany. The prototype of this workstation is a server-side web application that has been developed on MeVisLab.
RSE Team
The Research Software Engineering team is a group of 6 researchers within DIAG who also have expertise in software engineering and specialize in research that is driven by robust and reproducible research software. This software is made open source where appropriate and published in academic journals. We also provide other researchers who do not have a background in software engineering education on the fundamentals, and promote best practices in software development learnt from industry. We also aim to have a direct impact on healthcare by translating some of the group's research software output into the clinical workflow for our in-house radiologists, pathologists, and ophthalmologists.

Employment conditions

Upon commencement of employment we require a certificate of conduct (Verklaring Omtrent het Gedrag, VOG) and there will be a screening based on the provided CV. Radboud university medical center’s HR Department will apply for this certificate on your behalf.

Read more about the Radboudumc employment conditions and what our International Office can do for you when moving to the Netherlands.

Comments and contact information

We offer a challenging research environment in a growing international research group with ample opportunities to further develop your skills.

All additional information about the vacancy can be obtained from Dr. James Meakin, leader Research Software Engineering team. Use the Apply button to submit your application.

Applications will be reviewed on an ongoing basis until the position is filled.
Recruitment agencies are asked not to respond to this job posting.

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more information

Working at Radboud university medical center

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