The Université catholique de Louvain is a French-speaking university located in six different locations including Charleroi. With a multicultural and multilingual environment, UCL is open to the world and hosts students and researchers from around the world. The university is highly ranked internationally and is a major employer in Wallonia and the Brussels region. UCL operates faculties, research institutes, and administration to fulfill the three missions of teaching, research, and service to society.
e-OMIX is a new project launched at UCLouvain and aims at establishing a new bioinformatic hub for sharing and leveraging omics data (collected from different platforms quantifying cellular molecular content) across different laboratories in Brussels and Wallonia for research and clinical purposes.
• Establish bioinformatics pipelines for preprocessing single-omics data (filtering, normalization, control of batch effect, quality control, etc.)
• Adhere to interoperability standards established by the FIHR consortium Ensure compatibility of omics data collected across different platforms and research groups by implanting HL7 FIHR standards.
• Integrate different types of omics data to favor a multiomics approach
• Conceive and automate supervised (regression, variable selection, etc.) or unsupervised (network analyses, clustering, PCA, etc.) statistical analyses.
• Master’s degree in bioinformatics, statistics, computer sciences, biomedical sciences, bio-engineering, or equivalent
• Experience and/or keen interest in one or several of the following:
• One or multiple omics experimental technologies, data processing analysis and/or interpretation
– interest in developing solutions for the exchange of biomedical data and in multicentric initiatives
– solid background in statistics, machine learning/artificial intelligence
– knowledge of one or more programming language (e.g., Rmarkdown, Python, BASH, etc.) and IDE (R, Jupyter notebooks, etc.)
– collaborative research software development (e.g., unit testing, version control, continuous integration, Git, etc.)
– experience in R/Bioconductor data structures, in particular those used for omics data analysis (e.g., SummarizedExperiment, SingleCellExperiment, QFeatures, etc.)
– open and reproducible research
– contribution to an open and inclusive research environment
– good written and oral communication skills, english proficiency
• A collaborative work environment: The project is conjointly led by the Computational Biology (CBIO) and Computer Engineering (INGI) units from UCLouvain and will involve other major academic actors.
• The collaborator will be partly based in the A6K startup incubator in Charleroi, and partly home-based, (with occasional travels to UCLouvain’s Brussels or Louvain-La-Neuve campuses)
• Flexible workhours
• Reimbursement of travel expenses
Candidates are invited to send their application (resume and cover letter) at firstname.lastname@example.org by March 1st2024.
Number of offers available 1
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