We are recruiting a postdoctoral researcher to join our Oligogenic Group at the Interuniversity Institute of Bioinformatics in Brussels (IB)2. The researcher will work on the development and application of statistical and machine learning methods relevant to whole genome analysis to detect pathogenic modifiers associated with oligogenic diseases. This research continues the work conducted in the oligogenic team 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 (G4BXL, funded by Innoviris) on which this position is opened. The postdoc position in this project concerns the detection of pathogenic modifiers in Marfan syndrome using a cohort of patients. One of the responsibilities is also 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 is 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, including the company FairGX. The position is available for 2 years. The position will be closed as soon as a suitable candidate is found.
How to apply
Persons interested in this position should send a CV, publication list, motivation letter and 3 reference letters to
Tom.Lenaerts@ulb.be. We kindly ask to make it explicitly clear in the motivation letter which of the skills listed below fit your profile.