Summary
Céline Chevalier is a bioinformatics engineer with 9 years’ experience applying systems biology and graph theory to multi-omic and single-cell transcriptomics projects across academic and research institutions in France. She has built and maintained reproducible single-cell RNA-seq pipelines (Seurat, Harmony, scVelo, CellRank, URD) for time-series and case-control studies and currently analyzes methylation and multi-omic data for a 400+ patient multiple myeloma cohort at CRCI2NA. Her background includes developing graph-based tools for conserved synteny detection (NetSyn) and integrating stochastic and Boolean modeling approaches, reflecting a strong blend of algorithmic thinking and practical pipeline engineering. Comfortable with team server and environment management, she combines hands-on coding in R and Python with careful data stewardship and collaborative reproducibility. Open to roles across France from September, she brings both deep domain knowledge and a track record of delivering sharable, well-documented research software.
8 years of coding experience
5 years of employment as a software developer
Biology and Ecology Bachelor, Ecology, evolution, systemic and populations' biology, Bachelor, Biology and Ecology Bachelor, Ecology, evolution, systemic and populations' biology, Bachelor at Paris-Sud University (Paris XI)
M2 final year internship, Biomathematics, bioinformatics and computation for biology, Master degree, M2 final year internship, Biomathematics, bioinformatics and computation for biology, Master degree at RWTH Aachen University
3rd year of Bachelor grade, Biology-Chemistry, 3rd year of Bachelor grade, Biology-Chemistry at Universidad Complutense de Madrid
Master of Computational Biology, Bioinformatics & biostatistics, Master degree, Master of Computational Biology, Bioinformatics & biostatistics, Master degree at Université Paris-Saclay
French, Spanish, English