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In a longitudinal study cancer patients are interrogated molecularly prior to and after radiation exposure. The study aims to shed light on the changes that occur in the cellular regulatory network during the course of the study. In particular, characteristics of the network known prior to exposure that affect a patient’s response to radiation exposure are to be identified. This is hampered by the heterogeneity of the patient group and the high-dimensionality of the data. The project aims to develop multivariate statistical methods for the analysis of the study to produce network models that describe the relations at the cellular molecular level, how these relations change over time, and differ between patient groups. In addition, the data of the study have to be analysed and the results communicated. The project is a part of the EU-funded MEDIRAD-project (Horizon 2020 Programme).
We are looking for a postdoc in Mathematics/Statistics and an interest in the application of statistics to real-life problems. Essentials are: good statistical knowledge enabling the development of new models and analysis tools, programming skills, the ability to explain complex ideas to biologists/non-specialists and an affinity with genetics and biology. Previous knowledge of any of the areas involved in the project (such as longitudinal models, graphical models, multivariate statistics, high-dimensional data analysis, networks), experience with the analysis of complex data and with R programming are an advantage.
Salary Scale 10: 2750 tot 4361 euro gross when employed full-time (depending on qualifications and experience).
In addition, we offer:
The position is available for 1 year in the first instance with the possibility of extension for another 8 months.
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