Computational Biologist 1
Portland, OR, United States
USD 77K-103K (estimate) Mid-level Full Time
Tasks
- Analyze tumor imaging datasets
- Build and maintain software pipelines
- Conduct single cell RNA sequencing clustering and cell type annotation
- Generate publication ready visualizations
- Integrate multi-omic data
- Integrate proteomic and transcriptomic datasets
- Maintain reproducible analysis workflows
- Organize and manage project data and metadata
- Perform RNA sequencing quality control and preprocessing
- Perform dimensionality reduction and trajectory analysis
- Run differential expression and differential abundance analysis
Perks/Benefits
- N/A
Skills/Tech-stack
Bash | Bulk RNA-seq | Cell-type annotation | Clustering | Cytoscape | DESeq2 | Data Analysis | Data integration | Differential expression | Dimensionality Reduction | FastQC | GSEA | Image analysis | Network visualization | Normalization | Pathway Enrichment | Proteomic data | Proteomic data analysis | Proteomics | Python | Quality Control | R | RNA Sequencing | RNA-seq | RStudio | Seurat | Single-cell | Single-cell RNA-seq | Trajectory analysis | Type annotation
Education
Roles
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