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.Organisation/Company: INSERM DR NOUVELLE-AQUITAINEDepartment: Délégation régionaleResearch Field: Computer science » OtherResearcher Profile: First Stage Researcher (R1)Positions: Master PositionsCountry: FranceApplication Deadline: 1 Jan 2025 - 12:00 (Europe/Paris)Type of Contract: TemporaryJob Status: Full-timeOffer Starting Date: 1 Sep 2024Is the job funded through the EU Research Framework Programme? Horizon 2020Is the Job related to staff position within a Research Infrastructure? NoOffer DescriptionA research engineer position is available within the 'Physiopathology of energy balance and obesity' team (Neurocentre Magendie) in collaboration with the 'Computational Biology and Bioinformatics' team (IBGC) at Inserm, University of Bordeaux (France). The post involves studying various omics data, mainly on single neuronal cells, as part of a research project funded by the European Community (ERC Consolidator Grant). This project aims to explore neuronal cell plasticity in mouse models of obesity and metabolic diseases, also using the available single-cell neuronal atlases of the human brain. The engineer will work in collaboration with a post-doctoral researcher and another engineer and will benefit from the presence of bioinformaticians who are experts in the design and development of biological data analysis pipelines. He/she will have to take charge of certain pipelines that have already been designed, adapt them to future developments and produce reports on the results, taking into account the requests of project sponsors. He/she should be able to improve existing pipelines by introducing new methods from the literature. In addition, several projects involving the analysis of heterogeneous data are currently underway in the team (single cell or not). As well as analysing single-cell data, the engineer will also develop data integration methods and apply them to the team's available datasets.Where to applyE-mail: ****** Field: Computer science » ProgrammingEducation Level: Master Degree or equivalentSkills/Qualifications- Master degree in bioinformatics, biostatistics- Some experience in bioinformatics applied to genomic or transcriptomic data, ideally at single-cell scale.- Understanding of the main analyses of single-cell sequencing data.- Organisational skills, synthetic presentation of scientific results.- Good communication with biological researchers, interest in biological issues.- Used to working in a team, ability to listen and make proposals. Autonomy. Interest in the methodological aspects of data analysis.Specific Requirements- Programming skills in R and/or Python.- Proficiency in the software required to analyse genomic and transcriptomic data (STAR, DeSeq2, CellRanger).- Fluency in written and spoken scientific English.- Practical understanding of multidimensional data analysis methods (PCA, t-SNE, UMAP, statistical learning, etc.)
