Bioinformatician II
About The Position
The Ontario Institute for Cancer Research (OICR) is looking to fill an existing vacancy for a Bioinformatician II to join the Computational Biology team. The Bioinformatician II will support research projects involving genomic analysis, particularly of single-cell genomics data. The successful candidate will work closely with computational biologists and wet-lab scientists to process, analyze, and interpret single-cell and bulk tissue ‘omic data. The immediate team need is for single-cell RNAseq and ATACseq analysis for an exciting ongoing project with prospect of manuscript submission within the year. This role is ideal for candidates interested in applying computational methods to biological questions in a collaborative research environment. This position is temporary, full-time for one-year.
Requirements
- Master’s degree in Bioinformatics, Computational Biology, Genomics or a related field, or recognized equivalent.
- Working experience with single-cell analysis workflows in Seurat. Experience must be through real-world projects.
- Experience with Linux/Unix environments and high-performance computing (HPC).
- Understanding of next-generation sequencing (NGS) data and single-cell genomics concepts.
- Basic knowledge of statistics and data analysis techniques.
- Strong organizational and communication skills.
- Analytical thinking and problem-solving skills.
- Attention to detail and data integrity.
- Ability to work both independently and in a team setting.
- Strong time management skills, with the ability to prioritize tasks, work effectively within a supervisory structure, and meet project deadlines.
Responsibilities
- Perform preprocessing and quality control of single-cell and bulk sequencing datasets.
- Conduct downstream analyses such as dimensionality reduction, clustering, differential expression/methylation analysis, and cell type annotation, among others.
- Integrate multi-sample and multi-modal datasets (e.g., scRNA-seq, ATAC-seq) using Seurat or related tools.
- Generate publication-quality visualizations (e.g., UMAP/t-SNE plots, heatmaps, violin plots).
- Assist in the interpretation of results and contribute to biological insights.
- Collaborate with experimental researchers to design analyses and validate findings.
- Maintain reproducible workflows and well-documented code (e.g., R scripts, R Markdown, Git).
- Support preparation of figures, reports, and manuscripts.
Benefits
- total compensation includes a competitive benefits plan, plus a defined benefit pension plan (HOOPP)
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
