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.