Radboudumc has a strong track record in developing AI-based diagnostic and prognostic models. We are expanding this strength substantially in our pursuit of patient-centred and innovative care, and we are also leveraging global developments in this area. The overall vision is to integrate multiple multimodal data sources from diverse studies and data collections – from clinical trials to routine care data – to better understand conditions and their course. The objective is to gain deeper insights into health, prevention and disease processes to support innovations in person-centred prevention and therapy.

Real-World Data studies and collections in combination with advanced models and AI solutions present specific challenges. In the context of this position, the ambition is to unlock and leverage data that is already routinely collected, both within Radboudumc and with collaborative partners. The quality and validation of models usually require even more comprehensive datasets, such as international patient registries and international collaborations of the Radboudumc, which involve the sharing of large amounts of data, provide a solid foundation for AI and model development.

Tasks and responsibilities.
For these solutions to be successfully implemented in healthcare, it is essential that they are fit-for-purpose and permanently reliable, with the capacity to handle ever-increasing data and continuous learning models. This includes demonstrating quantifiable performance, such as added diagnostic value or accuracy of predictions at the individual patient level. It is of particular importance to Radboudumc as a hospital that the performance of applications can be demonstrated and secured, taking into account how they are used in practice by doctors and nurses. Given the learning nature of AI models, these are questions that require further research and methodology development.

Due to our focus on implementing AI to improve healthcare, we are seeking a postdoctoral researcher with the potential to advance into the talent track to assistant professor within 1 or 2 years to spearhead the continuous evaluation and validation of advanced AI-based models based on real-world data on an international scale.
Please upload a motivation letter, your curriculum vitae and the sectorplan application form that applies to your position. This form will guide you through some questions that are relevant for the selection.

We are seeking a solution-oriented researcher with experience in quantitative modelling and analysis of complex (disease) processes, preferably using diverse data sources, and specifically medical and real-world data.

Our preferred candidate is interested in contributing to the development of data-driven care for patients inside and outside the hospital walls. You are familiar with Radboudumc and its core values and are able to work in a person-oriented, innovative, networked manner, excelling as a team player in intended innovation projects. You are proactive and confident in the dynamic and complex environment of international medical scientific research.

Moreover you have:

• A PhD degree with strong mathematical and statistical background, in medical biological context.
• Demonstrated experience in the development of complex quantitative models, preferably including machine learning and deep learning approaches.
• A cross-disciplinary outlook and enjoy working in interdisciplinary teams.
• Proven interest in biomedical problems and the drive to develop new methods and reliably put them into practice.
• Persuasive collaborative and a focuse on structural solutions that have broad applicability.
• Experience in establishing educational training at Msc and post-graduate level is a plus.

Fixed-term contract: 2 year with a possible extension of 2 years.

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 € 4.678 and € 6.402 (scale 11) 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

This position is partly funded by the resources made available by the medical sciences sector plan. With the sector plans, the Ministry of Education, Culture and Science (OCW) intends to make a structural contribution to the cohesion and cooperation between education and research, and to relieve stress and pressure related to science by offering more permanent contracts. In addition, the sector plans contribute to making joint and clear choices in the division of tasks and signatures of the Dutch universities.

Radboudumc fully supports these objectives and has seized this opportunity to strengthen and deepen a number of important existing strategic themes within Radboudumc. These are the themes of prevention, data-driven & Artificial Intelligence (AI), and molecular mechanisms of diseases and new treatments. These themes fit nicely on the thematic foci of the sector plan, namely prevention, data-driven innovation and the path from fundamental research to application.

We hope this will not only give an impulse to the research within the Radboudumc, but also strengthen the unique position of university medical centers: in no other place is the interaction between fundamental research and the treatment of (complex) patients so clearly present, and the potential for impact on both patients and healthy people so great.

Sectorplan – Data-driven Innovation
In the focus area 'data-driven health: AI, e-health and medical technology,' we are committed to developing and implementing new technology in medical practice. The sector plan allows Radboudumc, together with regional, national and international collaboration partners, to continue building a self-learning healthcare system where data about our patients and treatment outcomes are used to improve the treatment of future patients and develop new prevention strategies.

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.