Join our dynamic and innovative team as a researcher in the talent track to assistant or associate professor level. We are seeking an individual who is passionate about developing and implementing diagnostic, prognostic and predictive models that use longitudinal real-world data from various sources. With our strong track record in AI-based diagnostic and prognostic models, we are now expanding our focus to incorporate multiple multimodal data sources to better understand diseases and their course.

As a member of our team, you will be at the forefront of new developments in molecular analysis, measurement devices, sensors, and wearables. With the emergence of integrated and standardized electronic patient records, there is a unique opportunity to collect more frequent and complete data, sometimes even continuously. We are excited to explore the potential of these new data sources and their integration with existing methods.

We believe that by gaining better insights into health, prevention and disease processes, we can support innovations in person-centered prevention and therapy. Our vision is to develop explainable AI (transparent algorithms) and multimodal integration methods to help achieve this goal. Your activities will include developing AI-based methods for structuring, analyzing, integrating and interpreting real-world data, and using these methods in diagnosis and prognosis.

As a researcher in the talent track, you will have the opportunity to build a viable research group by acquiring independent and collaborative grants. You will also collaborate with clinical researchers within and outside Radboudumc, contributing to new initiatives around health data, such as Healthy Data. Additionally, you will play a critical role in education, contributing to the design of the new master's in Medical Data Science, training and coaching students in digital skills, and educating students in the Biomedical Sciences and Medicine curricula.

If you are passionate about using AI and machine learning to improve healthcare, and want to be part of a dynamic and innovative team, we encourage you to apply. Join us in our mission to develop cutting-edge methods that help us better understand diseases and ultimately improve patient outcomes.

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 looking for a researcher in talent track who has the ambition to participate in the development of data-driven care for patients inside and outside the walls of the hospital. The candidate endorses Radboudumc's core values, has an innovative mindset, and excels as a team player in intended innovation projects.

We are looking for a solution-oriented researcher with experience in structuring, analyzing and integrating multimodal, longitudinal (bio)medical and real-world data.

• The candidate should, have a strong and proven quantitative background, and hold a PhD in a relevant discipline, such as epidemiology, biostatistics, computer science, data science, artificial intelligence, bioinformatics, biomedical sciences.
• Candidates have demonstratable experience in AI algorithm development, preferably in natural language processing and/or other deep learning methods to analyze unstructured, longitudinal and/or multimodal data.
• Successful candidates have a cross-disciplinary view and enjoy working in interdisciplinary teams and a proven interest in biomedical problems and drive to develop new methods.

Experience setting up educational training for end users is a plus. Candidates are proactive and comfortable in the dynamic and complex environment of a university medical center.

Salary depends on knowledge and experience. Working at Radboud university medical center means that you are ahead of the curve and working together on the healthcare of the future. And there is more. Our secondary terms of employment are impressive. These are fully tailored to you thanks to our Employment Conditions Selection Model. At Radboud university medical center, you will be given trust, and you will take the responsibility to handle everything together.

• A gross monthly salary between € 4.325 and € 6.717 (scale 11/12) based on full-time employment.
• From 1 November 2023 the wages will increase by 4%.
• An annual vacation allowance of 8% and an end-of-year bonus of 8.3%.
• If you work irregular hours, you will receive an allowance.
• As a full-time employee (36 hours per week), you are entitled to approximately 168 vacation hours (over 23 days) per year.
• Radboud university medical center pays 70% of the pension premium. You pay the rest of the premium with your gross salary.
• You get a discount on health insurance as well: you can take advantage of two group health insurance plans. UMC Zorgverzekering and CZ collectief.
• We provide annual courses, both professional and personal.

In addition to our terms of employment, we also offer employees various other attractive facilities, such as childcare and sports facilities. Want to learn more? Take a look at the CAO UMC.

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.

AI, e-health and medical technology as a theme within the Sectorplan
In the focus area "data-driven health: AI, e-health and medical technology," we are committed to the development and implementation of new technologies in medical practice. The sector plan allows Radboudumc, together with regional, national and international cooperation partners, to continue building a self-learning healthcare system where data about our patients and the outcome of treatments 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.

Read more about our strategy and what working at Radboud university medical center means. Our colleagues would be happy to tell you about it. #weareradboudumc