Bio-informatician (m/f/x) > Université Catholique de Louvain > Joboolo BE :
Société : Université Catholique de Louvain Lieu : Ottignies-Louvain-la-Neuve Wallonia Site source : Talent BE
The university is highly ranked internationally and is a major employer in Wallonia and the Brussels region.UCLouvain 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 a UCLouvain and aims at establishing a new bioinformatic hub to share and leverage omics data (collected from different platforms quantifying cellular molecular content) across different laboratories in Brussels and Wallonia for research and clinical purposes.Role 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.
Qualifications and skills 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 We offer 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) One-year fixed-term contract, with a possibility of extension Flexible work hours Reimbursement of public transportation cost Application UniversitéCatholique de Louvain Ottignies-Louvain-la-NeuveWallonia
