Job Details

  • Title: Computational Biologist
  • Code: RCI-19630
  • Location: Mississauga, ON L5N 5M8
  • Posted Date: 09/23/2022
  • Duration: 12 Months
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  Job Description

Project Role

  • The Department of Cell and Tissue Genomics (CTG) is seeking a highly talented, creative, and motivated computational biologist to analyze cutting-edge high-dimensional profiling and screening data.
  • The candidate will closely collaborate with members of the department to extract biological insights from diverse high dimensional data sets, leveraging existing computational workflows and developing novel ones.
  • The successful candidate will work in a highly collaborative team with colleagues in the bioinformatics and AI & Machine Learning departments and across the therapeutic areas.

Education

  • Minimum of a Master’s Degree or PhD in bioinformatics, computational biology, quantitative biology, computer science, or related fields.

Required Skills

  • Strong computational and data analysis skills, including proficiency with R or Python
  • Experience with single cell RNA-Seq and/or single cell ATAC-Seq analysis
  • Comfortable with modern Linux and HPC environments, tools for data analysis,visualization, statistics, analysis pipelines (Snakemake or Nextflow), and version control tools such as git
  • Good understanding of biological concepts and an interest to learn more
  • Excellent oral and written presentation skills, creative problem-solving abilities, attention to detail, good communication and collaboration skills

Preferred Skills and Experience

  • Experience in analyzing CRISPR/perturbation screens
  • Experience with spatial transcriptomics data analysis
  • Background in therapeutic areas of high interest to client (immunology, cancer immunology, neuroscience, molecular oncology).
  • Experience with applying various machine learning models to high throughput datasets

Project Responsibilities

  • Perform comprehensive and statistically sound analyses of various single cell datasets to generate biological insights
  • Develop and interact with computational pipelines at client for end-to-end analysis of novel high throughput assays
  • Work closely with bench scientists to advise on experimental designs