We are seeking a talented individual with technical and programming expertise in data management and processing to join our team. You will play a crucial role in integrating the rapidly growing volume of digital pathology data into our research projects. The ideal candidate will have the ability to work closely with researchers and lab technicians to ensure seamless integration and advance our work to new heights.
The Computational Pathology Group (CPG) of Radboudumc Nijmegen develops artificial neural networks based on Artificial Intelligence techniques, using Deep Learning for the analysis of histopathological slides. Our AI algorithms are trained using whole slide images (WSI). WSIs are generated by scanning histopathological slides on a very high resolution. Development of most AI algorithms require large sets of WSIs used to train and validate computer models.
Since 2020, the pathology department of the Radboudumc has implemented a fully digital pathology workflow, where every day, hundreds of digital pathology slides are scanned. This wealth of data represents the perfect combination with development of state-of-the-art AI algorithms.

We are searching for a candidate who possesses a strong background in programming, specifically with Python. Additionally, experience in data processing and management is required. Familiarity with running scripts and research software, knowledge of database structures, and basic understanding of pathology data are all assets. Communication skills are crucial as the successful candidate must be able to work independently yet know when to bring important issues to the team's attention. Fluency in English, both written and verbal, is necessary for a successful experience in our international research environment.

Fixed-term contract: 1 year with a possible extension.

Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together.

• A gross monthly salary between € 3.230 and € 5.088 (scale 10) based on full-time employment.
• An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
• As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
• Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
• You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
• We provide annual courses, both professional and personal.

In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC.

Radboudumc

The Computational Pathology Group is a research group of the department of Pathology of the Radboud University Medical Center. We are part of the interdepartmental Diagnostic Image Analysis Group (DIAG). We develop, validate and deploy novel medical image analysis methods, usually based on machine learning technology and focusing on computer-aided diagnosis. Application areas include diagnostics and prognostics of breast, prostate and colon cancer. Our group is among the international front runners in the field, where we closely collaborate with clinicians and industry.

Radboudumc
Radboud university medical center is a university medical center for patient care, scientific research, and education in Nijmegen. Radboud university medical center strives to be at the forefront of shaping the healthcare of the future. We do this in a person-centered and innovative way, and in close collaboration with our network. We want to have a significant impact on health and healthcare. We want to improve with each passing day, continuously working towards better healthcare, research, and education. And gaining a better understanding of how diseases arise and how we can prevent, treat, and cure them, day in and day out. This way, every patient always receives the best healthcare, now and in the future. Because that is why we do what we do.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc