To seamlessly integrate the increasingly growing amount of digital pathology data into our research projects, we are looking for a new colleague with technical and programming expertise in data management and data processing, who can work in close collaboration with researchers and lab technicians in our group. Are you the Technical Data Manager we are looking for? We would like to meet you!

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 and diagnosed by pathologists, generating thousands of clinical reports. This wealth of data represents the perfect combination with development of state-of-the-art AI algorithms such as Foundation Models, the AI technology at the core of models like ChatGPT.

We offer an exciting position in one of Europe's largest research groups in Computational Pathology. Initialy you will receive a 1 year contract of 0,8-1,0 FTE (open for negotiation).

Your core tasks can be divided into the following categories:

• Research into information needs.
• Development of (medical) software/systems.
• Implementation of (medical) software/systems.
• User Support.

We are searching for a candidate who is experienced in programming (preferably Python) and has affinity with data processing and data management. You have some affinity with running existing scripts and research software. Affinity with container applications (e.g., Docker) and/or software development and operations is a plus.

Preferably you posses knowledge of data base structures and basic knowledge of pathology data. You are equipped with good communication skills; you can work independently but you know when to speak up. To conclude, you are comfortable with speaking English in an international research environment.

Fixed-term contract: 1 year, with prospect of extension.

At Radboud university medical center, you build on your future. We are committed to providing the best care, education, and research. And we are true to our word, because we help you develop and seize opportunities and give you the room to grow. As an employer, we believe that employees should feel vital and happy at work in all stages of life. We are also committed to creating a healthy and safe working environment. Our employment conditions contribute to that. What we offer:

• A gross monthly salary between € 3.493 and € 5.504 (scale 10) for full-time employment (36 hours per week). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and, depending on the position, an allowance of 47% to 72% for working irregular hours.
• 172 vacation hours per year based on a 36-hour working week. (As of 1 January 2025, you will receive 176 vacation hours).

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
Welcome to Radboud university medical center (Radboudumc), where our research groups strive for innovative solutions that make impact on health and healthcare. We challenge the status quo to overcome current and future health challenges. Our goal is to shape the future of healthcare for generations to come. Our focus is on prevention, sustainability, and meaningful care, which we achieve through our in-depth understanding of disease mechanisms, clinical science, public health research, medical technology and data science. Our approach is centered on breakthroughs that can truly enhance personalized healthcare and public health.

At Radboudumc, a comprehensive range of research programs provide the compass for our research efforts. Each program has a clear goal, where collaboration within and outside our organization is highly valued. We integrate care, education and research in partnership with our patients to ensure that our research programs have significant impact on health and healthcare. We invite you to join us in our mission to create a healthy future for all.

Any questions? Or wondering what it is like to work at Radboudumc? Then send an email to Francesco Ciompi, Associate professor. Use the Apply button to submit your application.