• Integrating intelligence of EU-based research groups to elucidate the metabolic communication between adipocyte tissue and chemo-resistant acute myeloid leukemic (AML) stem cells during chemotherapeutic resistance/relapse
• Developing polyMORPHOS software to predict AML patient overall survival given metabolic flux profiles derived from gene expression datas in order to design individualized therapies for each chronological iteration of survival
• Streamlining Python, R, and GNU scripts to process raw single cell and bulk RNAseq data via the latest quality control, mapping, alignment, quantification, and differential expression, and visualization softwares
Bioinformatics and Statistics
Predictive analytics for Multi-omics data, machine learning (regression, classification, clustering), metabolic modeling and flux balance analysis, front-end interface development for research, Linux shell scripting, bulk and single-cell RNAseq, genome assembly, JetBrains developer environments, Next-Generation Illumina and PacBio sequence processing, Geneious gene mapping software, MOTHUR and QIIME metagenomic pipelines.
Programming languages: R, Python, C#, C++, Java, Scala, Julia, HTML/CSS, and MATLAB/OCTAVE
Centre de Recherches en Cancérologie de Toulouse (Oncopole)
Toulouse – FR
05 82 74 15 75
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