Mots-Clés
Multi-omique, RNA-seq, méthylome, Leucémies aigües, single-cell
Description
The position is Grant funded. The recruitment will be for 1-year contract (renewable for one additional year) with salary based on experience. The team will also support candidates to apply for a permanent research position (Inserm) with the objective to initiate an original project in line with the general project of the team.
Work environment:
The work environment is very stimulating. The candidate will work closely with the research team members including biologists, bioinformaticians and physicians. The institute (Institut de Biologie en Santé) is located in the hospital and university campus of Angers and held several research teams including our own. The institute had a genomic facility and a bioinformatician platform (4 bioinformaticians). The lab will offer a personal linux computer with RAM (128Go) and CPUs (24) for routine calculation together with an access to the regional computing cluster. The candidate will also have interactions with other researchers and bioinformaticians from the consortium, especially those in charge of splicing analysis (Inserm U1078) and scRNA-seq (Inserm U1068).
Research project:
We study acute myeloid leukemia (AML) secondary to myeloproliferative neoplasms (MPN), which are associated with a grim outcome with median overall survival ranging between 2 to 10 months. The project aims to identify new targeted therapeutic approaches in post-MPN AML by combining a multiomics analysis with an ex vivo drug screening and preclinical PDX mouse models. The candidate will work on the first step of the project dedicated to the in-depth characterization of the dysregulated pathways. Thus, we will first characterize an already annotated cohort of 120 post-MPN AML for DNA-seq (300 genes + CNV), RNA-seq and methylome (data already available for half of the cohort). The candidate will be in charge of the analysis of these data using multi-layer clustering methods and pathway/network analyses.
Key Responsibilities:
- Analyze and interpret multi-omics datasets using advanced bioinformatics and biostatistics methods
- Identify clusters in multi-omics dataset (mutational profile (mutations, CNV and fusion genes), the methylome, mRNA and lncRNA, expression and splicing)
- Perform functional enrichment analysis and networks to identify dysregulated pathways in clusters
- Develop novel methods and tools to analyze RNAseq, UMI DNA-seq and methylome datasets
- Interact and collaborate within our multidisciplinary team and the national consensus group to provide bioinformatics support for ongoing projects
- Contribute to scientific publications and present findings at conferences.
Qualifications:
- A Ph.D. in Biostatistics, Bioinformatics
- Strong programming skills in R, Python, or similar languages.
- Experience in multi-omics data analysis, including at least RNAseq data.
- Familiarity with clustering and pathway analysis tools.
- Excellent problem-solving skills and ability to work independently as well as collaboratively.
- Strong communication skills, both written and verbal
- Fluency in English