We are searching for a research software engineer (RSE) in an existing team of RSEs who can assist in further developing the platform and developing new systems to efficiently unlock existing heterogeneous data using FAIR principles within Radboudumc and beyond.

Radboudumc focuses on data-driven health: AI, e-health, and medical technology. New projects and programs (HealthyData, Sectorplan, HealthRI, Cumuluz) have started that are expediting efforts and collaboration between existing infrastructures (DIAG, IM Data, RTC Datastewardship, RTC Deep Learning). A collaborative in Radboudumc, Diagnostic Image Analysis Group (DIAG, diagnijmegen.nl), has been actively researching Medical Imaging AI for over 30 years, for which the curation and management of general healthcare data are crucial. DIAG has developed and maintains an AI R&D platform (grand-challenge.org) that includes massive data collection, curation, privacy and ownership handling, and ethical requirements for FAIR use in an international cloud setting (BigPicture, PANCAIM, EUCAIM) that we wish to utilize more broadly within Radboudumc.

You are a software engineer with an interest in healthcare and an understanding of the research and data science process. With your good interdisciplinary communication skills, you are able to collaborate with all kinds of parnters, such as doctors, researchers and lawyers. You have a proactive attitude and endorse Radboudumc's core values: commitment, excellence and teamwork.

Basic Qualifications

• A degree in STEM or equivalent practical experience.
• Demonstrable experience in building software in Python.
• Developing and operating applications on at least one major cloud provider.
• Knowledge of dev-ops practices, CI/CD, infrastructure as code, and data pipelines.
• Experience with integrating with 3rd party APIs.
• Knowledge of FAIR principles and implementation.
• Experience with setting up training for end users.

Preferred Qualifications

• Practical experience with DICOM and HL7 FHIR.
• Knowledge of EPIC and Amazon Web Services (S3, Dynamo DB, RDS, HealthImaging, HealthLake, Lake Formation, Redshift, Glue, Kenesis, and SageMaker).

We encourage you to apply even if you still need to meet all the requirements above. We offer a collaborative, international environment with ample skills development opportunities.

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 in scale 10 between €3.359 and €5.292 (for a full-time appointment). You will also receive an 8% holiday allowance, an 8.3% end-of-year bonus, and a 47% to 72% bonus for working unsocial hours.
• Plenty of opportunities for personal development. You can take a variety of courses in our online learning environment. You can also share knowledge with colleagues through digital learning spaces – perfect for getting inspired and inspiring others.
• Your well-being and vitality are our priorities. For instance, you can enjoy a 40% discount on a sports subscription at the Radboud Sports Center along with access to the Healthy Professionals program designed to assist you in managing your energy. If you are going through a life-changing event, our Company Support Team and a personal coach are there to help you.
• If you are going through a life-changing event, our Company Support Team and a personal coach are there to help you.
• Support in achieving a good work-life balance at every stage of your life. This includes advice and training courses (from ‘Millennial Dilemmas’ to ‘Your Career After 57’), activities at our own mindfulness center, and informal caregiving consultations if you have questions about juggling work and caregiving responsibilities at home.
• 168 holiday hours per year (23 days) based on a 36-hour working week.
• 26 weeks of parental leave, nine of which are paid.
• A good collective pension scheme with a 70% reimbursement of your pension premium.
• Discounts on health insurance and ten other types of insurance, from home insurance to legal assistance.
• An allowance for your travel expenses or a working-from-home allowance of €2 per day.

Radboudumc

This position will be embedded in the RSE team led by James Meakin in DIAG, which a newly formed AI unit will govern. The unit aligns with the existing data and AI teams, projects, programs, and departments (DIAG, Healthy Data, SectorPlan, IM Data, RTCs) represented in this application by Henkjan Huisman, Arnoud van der Maas, Peter-Bram 't Hoen, Kit Roes, Wietske Huizenga and Bart Oosterholt. The unit seeks to exchange, collaborate, and synergize existing data expertise while forging future-proof, scalable solutions. The unit is strengthening Radboudumc’s AI strategy with a full impact pathway approach of exploration, development, and impactful implementation of healthcare AI.

Healthy Data
We have access to large amounts of data and numerous tools that impact our life in unprecedented ways. Prevention and treatment of diseases require a lean approach to using this data. By making health-related research data better and more responsibly available to researchers, we can contribute even better to solutions for improving our health and healthcare.

Radboud University and the Radboud university medical center aim to have the best campus for researchers in data and AI-driven research. That is why we are participating in the Radboud Healthy Data programme, in which we bring together and further develop our expertise in health-related data management and AI towards a sustainable digital infrastructure for the entire campus. Key focus areas include FAIR data management, AI methods, education, ethical and legal considerations, social inclusion, data-governed communities, and scientific breakthroughs. We build on existing activities and strong ties with partners in our network. Through this programme, we strengthen the data-driven infrastructure for health and healthcare.