Postdoctoral position in machine learning and bioinformatics

We are recruiting a postdoctoral researcher to develop, in collaboration with the Oligogenic Team at (IB)², novel machine learning methods to predict the effect of combinations of variants in disease phenotypes, and more precisely discerning pathogenic modifications associated with known disease-causing genes. This research builds on the Variant Combinations Pathogenicity Predictor work (https://doi.org/10.1073/pnas.1815601116) as well as its associated developments like ORVAL (http://orval.ibsquare.be).

Specific research directions in this context can be discussed yet certain deliverables need to be reached within the context of the project on which this position is opened. One of the responsibilities is to collaborate with technical support staff on the transfer of the ORVAL platform to a professional cloud environment hosted by the company FairGX and the Foundation 101 Genomes (http://f101g.org).

The position would be in the context of the Interuniversity Institute of Bioinformatics in Brussels (http://www.ibsquare.be) and the ULB Machine Learning group (http://mlg.ulb.ac.be) under the supervision of professor Tom Lenaerts and in collaboration with Dr. Sofia Papadimitriou (Université Libre de Bruxelles), the PhDs working on this topic and the other partners of the G4BXL project. This position is available for at least 1.5 years. The position will be closed as soon as a suitable candidate is found.