Student

Ontario Institute for Cancer Research

. Perform bioinformatic analysis on diverse datasets, including genome and transcriptome sequencing data and spatial biology data .

Posted 11/2/2026part-timeToronto • CanadaEntry Level💰 CA$34 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in bioinformatic analysis, particularly with single-cell transcriptomic datasets and R programming for data visualization. Capable of integrating diverse datasets and conducting comprehensive analyses to support clinical research and patient care.

Highest-signal resume keywords

Bioinformatics AnalysisR ProgrammingSingle-Cell TranscriptomicsLinux-Based ComputingProstate Cancer Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData VisualizationPathway AnalysisStatistical ConceptsAutomated WorkflowsMeta-AnalysisDrug Response AnalysisClinical Association StudiesMolecular BiologySequencing Data

Soft Skills

CollaborationCommunicationDocumentation

Tools & Technologies

Bruker CosMxHigh-Performance ComputingCluster Computing

Industry Keywords

Genome SequencingTranscriptome SequencingSpatial BiologyClinical NeedsPatient Care

Tech Stack

Tools & technologies

Linux

About the role

Key responsibilities & impact

Perform bioinformatic analysis on diverse datasets, including genome and transcriptome sequencing data and spatial biology data
Develop and maintain automated workflows for data analysis and reporting
Integrate diverse datasets across multiple platforms and conduct unified meta-analyses
Perform downstream data analysis, including visualization, pathway analysis, drug response analyses, and clinical association studies
Collaborate with team members to interpret results and communicate findings effectively
Assist with documentation and presentation of analytical methods and research outcomes
Work under the direction of senior staff on large datasets addressing clinical needs and patient care

Requirements

What you’ll need

Student with strong bioinformatics experience
Demonstrated knowledge of and experience analyzing single-cell transcriptomic datasets, including data generated using the Bruker CosMx platform
Proficiency in R programming for data analysis and visualization
Understanding of statistical concepts and commonly used statistical tests for biological data analysis
Familiarity with Linux-based computing environments and high-performance or cluster computing systems
Demonstrated experience applying bioinformatic approaches to prostate cancer research
Familiarity with molecular biology and/or sequencing data

Benefits

Comp & perks

Defined benefit pension plan (HOOPP)
Equity, diversity, inclusion, and accessibility commitment
Accessible workplace and recruitment process
Confidential accommodation support during recruitment