Researcher AI & Real-World Data
Offer DescriptionRadboudumc 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 that applies to your position. This form will guide you through some questions that are relevant for the selection.Where to apply WebsiteRequirementsSpecific RequirementsWe 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.
Additional InformationBenefitsAt 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:
Selection processAny questions? Or wondering what it is like to work at Radboudumc? Then email to , Full Professor or with , Full Professor. Use the Apply button to submit your application.Additional commentsAny questions? Or wondering what it is like to work at Radboudumc? Then email to , Full Professor or with , Full Professor. Use the Apply button to submit your application. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Radboudumc Country Netherlands City Nijmegen Postal Code 6525 GA Street Geert Grooteplein-Zuid 10 GeofieldContact CityNijmegen WebsiteStreetGeert Grooteplein-Zuid 10 Postal Code6525 GASTATUS: EXPIREDShare this page
€4678 – 6402 per month
Nijmegen, Gelderland
Sat, 09 Nov 2024 03:27:24 GMT
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