You will participate in a project with the UMC Groningen identifying which patients will benefit most from proton-therapy rather than conventional radiotherapy for various cancers. For this we make use of prediction models to estimate expected harms and benefits. A clear example of personalized medicine. A challenging task, for example, is how to improve the existing prediction models when data of new patients become available. This project is a close collaboration between the Julius Center for Health Sciences and Primary Care and the department of Radiation Oncology of University Medical Centre Groningen. You will primarily be stationed and supervised at the Julius Center in Utrecht. The focus will be on the methodological challenges, including the usefulness of machine learning techniques for prediction modeling.
You will be working in the 'Methods of epidemiological research' group in the Julius Center of the UMC Utrecht, which evaluates and improves statistical and epidemiological methods with a focus on prediction research and measuring the effects of interventions. You will work in close collaboration with the Department of Biostatistics and Research Support (also part of the Julius Center), which has two main focus areas of research: 'methodology for high dimensional (big) data' and 'clinical trials methodology'. You will become part of an energetic, enthusiastic team of more than 100 researchers with different backgrounds. The group has an extensive network, both nationally and internationally. Your project will be in close collaboration with the department of Radiation Oncology of University Medical Centre Groningen, headed by prof. J.A. Langendijk, where they are recruiting a Clinical epidemiologist to work on the same project. You will be working in close collaboration.
You have a PhD in either Machine Learning, Artificial Intelligence, Data Science, Biostatistics or a closely related topic. You have expertise in using modern data-analytical techniques to discover the information present in complex clinical data, to enable better predictions and decisions for patients. You also are able to work in teams and communicate your ideas with peers. Written and spoken fluency in English is required, and fluency in Dutch would be an advantage
The maximum salary for this position (100%) is € 5.086,00 gross per month based on full-time employment (work week 36 hours). This job is based on a temporary position for 1 year.
In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).
The initial fulltime appointment will be for a period of 12 months, extendable up to 2 years upon a positive evaluation. The maximum salary depends on your qualifications with a maximum of € 5.086,00-.
If you have any questions about this vacancy, please contact Mr.Carl Moons, professor via phone +31 (0)88 75 593 05 or email K.G.M.Moons@umcutrecht.nl.
Acquisition based on this jobopening is not appreciated.