Data Manager Computational Pathology Group

Would you like to contribute to groundbreaking research in artificial intelligence for healthcare? Work in a dynamic and stimulating environment where you get to engage with diverse, international teams? We are looking for a Data Manager to join our Computational Pathology Group.

Within the EU-funded Bigpicture project, diverse parties upload their medical data (images and corresponding meta-data) to a central platform. Because each data provider operates a different IT infrastructure, a ‘one size fits all’ solution is not feasible. Instead, we tailor a set of existing tools to the local setup and provide targeted advice and technical support. Data providers may either be project members (beneficiaries) or outside parties (so-called slide contributing third parties, SCTPs). Different parties will have very diverse technical expertise. To support this wide range of data providers as much as possible, we are looking for a customer-friendly technically skilled Data Manager / ICT Specialist.

Key responsibilities in the Bigpicture project:

• Provide general technical advice on setting up local IT infrastructure for data upload to the Bigpicture portal.
• Support data preparation including streamlining metadata handling.
• Helping partners set up and use the various tools (SlideTap, Dicomizer etc).
• Provide feedback to the tool building parties so that these tools can be improved in their functionality and usability.
• Share and maintain the Radboudumc built tools with the broader Bigpicture community.
• Gradually build a knowledge base for future support of Bigpicture data providers.

Next to the Bigpicture project, you will join the data team of the Computational Pathology Group and support researchers in handling data requests and execute a range of other tasks.

You are a passionate Data Manager with a strong technical background. You are motivated to help beneficiaries and SCTPs succeed in uploading their data, and you thrive in a collaborative environment. You are an excellent communicator, a team player, and a problem-solver with outstanding troubleshooting skills. You communicate clearly, solve problems efficiently, and are willing to travel within Europe if the work requires it.

Moreover you have:

• Hbo-level degree in Bioinformatics (including Web Development), Computer Science or a related technical field.
• Experienced in web development using Python and read with hands-on experience deploying applications in Docker environments.
• Proficient in English and preferably also proficient in Dutch.
• Familiarity with:
  
  • DICOM data or other medical imaging formats (a plus).
  • Relational databases and SQL in general.
  • PostgreSQL in particular (a plus).

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 € 3.598 and € 5.669 (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.
• 176 vacation hours per year based on a 36-hour working week.

You will work at the Computational Pathology Group (CPG) of the Department of Pathology of the Radboud University Medical Center Nijmegen. CPG currently has ~40 researchers focused on various topics in the use of AI for pathology. Our focus is the development and validation of novel methods in a broad range of computational pathology applications. We focus on automated grading of breast and prostate cancer, prediction of therapy outcome for lung cancer, assessment of kidney biopsies and many other applications.

Key to the success of the group is close cooperation with clinicians. A team of scientific programmers is supporting our deep learning research for large-scale experimentation. It's an exciting and supportive place to work, and we are proud to say we have a diverse team and an open culture.

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.