Responsibilities
- To use/develop pipelines for large, single-cell dataset alignment and quality control.
- To cluster and annotate immune cell populations
- To use advanced analysis tools beyond basic differential gene expression and pathway analysis
- Integrate clinical and transcriptomic data for analysis using machine learning and novel artificial intelligence models.
- To effectively visualize and communicate single-cell analysis outputs to bench scientists
- Mentor graduate students in bioinformatics analysis
- Organize and maintain datasets on the storage archive
- To use the UHN high-performance computing cluster
Requirements
- demonstrated experience in single-cell RNA sequencing analysis
- ability to work with large scRNAseq datasets with cell numbers >3,000,000 cells
- proficiency in coding in relevant languages to incorporate the latest analysis tools
Nice to Have
- interest in incorporating new artificial intelligence tools into the analysis pipeline
Compensation
$54,902- $71,372 per annually
Team
Reports to: Senior Scientist
