US
0 suggestions are available, use up and down arrow to navigate them
PROCESSING APPLICATION
Hold tight! We’re comparing your resume to the job requirements…
ARE YOU SURE YOU WANT TO APPLY TO THIS JOB?
Based on your Resume, it doesn't look like you meet the requirements from the employer. You can still apply if you think you’re a fit.
Job Requirements of Computational Scientist - Research Oncology:
-
Employment Type:
Contractor
-
Location:
Mississauga, Ontario (Onsite)
Do you meet the requirements for this job?
Computational Scientist - Research Oncology
Careers Integrated Resources Inc
Mississauga, Ontario (Onsite)
Contractor
Title: Computational Scientist - Research Oncology
Location: Mississauga, ON
Duration: 12 Months
The ideal candidate will:
Conduct in-depth, statistically rigorous analyses of diverse NGS datasets (bulk and scRNA-seq) to produce meaningful biological insights.
Utilize Client's computational pipelines for end-to-end analysis of both established and new high-throughput assays.
Work with cross-departmental teams including both experimental and computational biologists.
Required Skills and Experience:
PhD in bioinformatics, genomics, or computational biology
Good communication skills, including in data visualization, and a strong interest in exploring biological questions.
Experience analyzing high-throughput data (bulk and scRNA-seq).
High-level proficiency in R programming language and Bioconductor packages.
Strong understanding of experimental design.
Strong computational and analytical skills.
Experience working in Linux-based server environments.
Good data science practices and understanding of statistics and data complexity.
A plus, but not essential:
Experience in analyzing and working with CRISPR screens and ChIP-seq/ATAC-seq.
Familiarity with public genomic databases (ENCODE, TCGA, GEO, ArrayExpress).
Familiarity with or interest in immunology.
Note: The Hiring team is looking for resumes with more in-depth single-cell experience (and ideally with some immunology background). Resumes should all include at least some publications or a github.
Location: Mississauga, ON
Duration: 12 Months
The ideal candidate will:
Conduct in-depth, statistically rigorous analyses of diverse NGS datasets (bulk and scRNA-seq) to produce meaningful biological insights.
Utilize Client's computational pipelines for end-to-end analysis of both established and new high-throughput assays.
Work with cross-departmental teams including both experimental and computational biologists.
Required Skills and Experience:
PhD in bioinformatics, genomics, or computational biology
Good communication skills, including in data visualization, and a strong interest in exploring biological questions.
Experience analyzing high-throughput data (bulk and scRNA-seq).
High-level proficiency in R programming language and Bioconductor packages.
Strong understanding of experimental design.
Strong computational and analytical skills.
Experience working in Linux-based server environments.
Good data science practices and understanding of statistics and data complexity.
A plus, but not essential:
Experience in analyzing and working with CRISPR screens and ChIP-seq/ATAC-seq.
Familiarity with public genomic databases (ENCODE, TCGA, GEO, ArrayExpress).
Familiarity with or interest in immunology.
Note: The Hiring team is looking for resumes with more in-depth single-cell experience (and ideally with some immunology background). Resumes should all include at least some publications or a github.
Get job alerts by email.
Sign up now!
Join Our Talent Network!