Jobs
e-OMIX has currently an opening for a Bioinformatician (m/f/x)
e-OMIX is a project in bioinformatics and computer sciences co-led by two research groups at UCLouvain. Its main objective is to build and deploy a platform to analyze and explore omics data. We are looking for an experienced bioinformatician/computational biologist to overview the development, testing and implementation of omics analysis workflows, and integrate them with innovative database solutions.
UCLouvain is a French-speaking university present in six different locations, with a recently established campus in Charleroi. With a multicultural and multilingual environment, UCLouvain hosts students and researchers from around the world. The university is highly ranked internationally and is a major employer in Wallonia and in Brussels. UCLouvain operates faculties, research institutes, and administration to fulfill the three missions of teaching, research, and service to society.
Role
Establish bioinformatics pipelines for end-to-end processing of single-omics data (genome alignment, peptide identification, features filtering, normalization, control of batch effect, QC, etc.)
Explore multi-omics data integration strategies with unsupervised analyses (e.g., MOFA, scGLUE, etc.)
Develop visualization modules for visual exploration of bulk, single cell, and spatially resolved data
Qualifications
Master’s degree (Master 120) in bioinformatics, statistics, computer sciences, biomedical sciences, bio-engineering, or closely related field
Programming language for biological data analyses (R or Python); Additional experience in bash or JAVA is an asset, as well as in related IDEs (RStudio, VSCode, Jupyter Notebooks, etc.)
Software development practices: CI/CD, unit testing, versioning (Git), containerization (Docker)
Databases for large datasets (Zarr, TileDB, Parquet, DuckDB, etc.)
Familiarity with the Bioconductor ecosystem and data structures (SummarizedExperiment, SingleCellExperiment, etc.); Seurat, scverse or similar libraries.
Workflow management tools (nextflow, snakemake)
Background in statistics, machine learning, and/or artificial intelligence
Interest in open science, reproducible research, FAIR data practices
Contribution to an open and inclusive research environment
Good written and oral communication skills, English proficiency
Our offer
A collaborative work environment: The project is a joint initiative of the Computational Biology and Bioinformatics unit (CBIO) and the Laboratory for Medical Informatics (LIMe) at UCLouvain and will involve other major academic actors in Belgium.
The collaborator will be based partly at the A6K startup incubator in Charleroi and partly working from home, with occasional travels to the UCLouvain campuses in Brussels and Louvain-La-Neuve.
Flexible work hours
Funding is available until December 2026.
Reimbursement of public transportation costs + bicycle plan
Application
Candidates are invited to send their application (CV and cover letter detailing programming skills and scientific achievements) to jerome.linden@uclouvain.be