Ingénieur de recherche en Bioinformatique (H/F)
Tasks
- Advise clients on scientific analysis
- Analyze and interpret transcriptomics results
- Analyze cell cell interactomes
- Conduct pathway and functional enrichment analysis
- Conduct scRNAseq analysis including QC
- Coordinate meetings and scientific communication
- Create advanced data visualizations
- Design analysis workflow
- Extract biological conclusions
- Infer trajectories and pseudotime
- Integrate and compare public datasets
- Manage code reproducibility and best practices
- Manage computational research projects
- Perform cell clustering and annotation
- Produce reports and scientific publications
- Run differential expression analysis
- Run sequencing data analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Bulk RNA sequencing | Cell Annotation | Clustering | DESeq2 | Data Visualization | Data integration | Differential expression | EdgeR | Functional Enrichment | Interactome Analysis | Pathway Analysis | Pseudotime | Python | Quality Control | R | RNA Sequencing | Reproducible Research | Scanpy | Seurat | Single-cell | Single-cell RNA-sequencing | Spatial transcriptomics
Education
N/A
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