Job Title: Computational Scientist – Oncology
Location: Mississauga, ON (Hybrid)
Duration: 12 Months
Shift: Standard business hours (Hybrid work arrangement)Role Overview
The Oncology team within the Computational Biology and Translation Pillar at Client's Global Computational Sciences (gCS) is seeking a highly motivated Computational Scientist (Contract). This role focuses on applying advanced computational and statistical methods to analyze preclinical and clinical datasets, with a strong emphasis on Breast Cancer. The scientist will contribute to drug discovery and translational research by interpreting multi-omics data to generate meaningful insights into disease mechanisms and treatment responses.Key Responsibilities

• Conduct in-depth analysis of bulk RNA-seq, ATAC-seq, WES, and single-cell datasets.
• Develop and implement statistical models and machine learning approaches to analyze and integrate complex biological data.
• Translate analytical findings into actionable biological insights related to disease biology and drug mechanisms.
• Present results to internal stakeholders and respond to scientific queries.
• Document code, workflows, and findings to support reproducibility and standardization.
• Collaborate across multidisciplinary teams to support ongoing oncology research initiatives.

Qualifications & Skills

• Ph.D. in Computational Biology, Bioinformatics, Systems Biology, or a related field (postdoctoral experience is a plus).
• Proven publication record in computational or cancer biology.
• Minimum 6 years of experience analyzing large-scale omics datasets (e.g., RNA-seq, WES).
• Expertise in:
  • Multivariate statistical analysis
  • Drug response and perturbational data analysis
  • Multimodal data integration
  • Predictive and prognostic modeling
• Deep understanding of cancer biology, especially Breast Cancer.
• Strong programming skills in R, Python, and shell scripting.
• Experience using Git and working with high-performance computing (HPC) systems.
• Demonstrated ability to work independently and meet deadlines with minimal supervision.
• Excellent communication skills and a collaborative mindset.
• Strong curiosity and drive to learn in the fields of oncology and computational biology.