Senior Bioinformatician

Tasks

• Apply causal inference and network reconstruction
• Build scalable analysis pipelines
• Communicate biological insights to stakeholders
• Conduct trajectory analysis
• Define data strategy and benchmarking
• Develop analytical methods
• Develop perturbation modeling
• Generate publication quality figures and reports
• Implement QC normalization batch correction
• Manage data ingestion and storage architecture
• Perform bulk RNA seq analysis
• Perform multi dataset integration
• Perform proteomics analysis
• Perform scRNA seq analysis
• Perform secretomics analysis
• Process store integrate biological datasets
• Productionize pipelines for reliable execution
• Reconstruct ligand receptor interactions
• Run dimensionality reduction clustering differential expression
• Write testable well-documented code

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Anndata | Batch Effect Correction | Bioconductor | Bulk RNA-seq | CI/CD | Causal Inference | Clustering | Containers | Differential expression | Dimensionality Reduction | Git | H5ad | Ligand Receptor Inference | Monocle | Multi-Omics | Multi-Omics Integration | Network Reconstruction | Nextflow | Normalization | Olink | Omics integration | Proteomics | Python | Quality Control | R | RNA Sequencing | RNA-seq | ScRNA-seq | Scanpy | Secretomics | Seurat | Single-cell | Single-cell RNA-sequencing | Snakemake | TileDB SOMA | Trajectory analysis | Unix/Linux | Workflow Orchestration