Postdoctoral Researcher - Cancer Epigenetics and Liquid Biopsy Biomarkers

Princess Margaret Cancer Centre; Toronto; On-site; CAD 100,000 - 125,000; Full time

Job summary

A leading cancer research institution in Toronto seeks a highly motivated Postdoctoral Fellow to join a multidisciplinary program focusing on cell-free DNA methylation profiling in lymphoma. The role involves analysis of epigenomic data to uncover biomarkers related to disease burden and treatment response. Candidates with a PhD in bioinformatics and experience in cancer genomics are encouraged to apply.

Qualifications

• Strong experience with cancer genomics and epigenomic data analysis.
• Proficiency in R, Python or Bash for data analysis and visualization.
• Experience in Linux/Unix environments and high-performance computing.

Responsibilities

• Analyze high-resolution epigenomic data for biomarkers.
• Work in a collaborative environment at the interface of cancer genomics.
• Engage in a multidisciplinary research program.

Skills

Cancer genomics

Epigenomic data analysis

R

Python

Bash

Linux/Unix

Version control (Git)

Workflow management tools

Education

PhD in Bioinformatics, Computational Biology or related discipline

Job description

The Kridel Lab at the Princess Margaret Cancer Centre (University Health Network, Toronto) is seeking a highly motivated Postdoctoral Fellow to join a multidisciplinary research program focused on cell-free DNA methylation profiling in lymphoma. This role will involve the analysis of high-resolution epigenomic data to uncover novel biomarkers of disease burden, treatment response, and resistance. The successful candidate will work in a dynamic, collaborative environment at the interface of cancer genomics, bioinformatics, and translational oncology. We welcome and prioritize applications from exceptional candidates interested in relocating to Toronto from the U.S., internationally, or from elsewhere in Canada.

Qualifications

• PhD in Bioinformatics, Computational Biology, Genomics, or a related discipline.
• Strong experience with cancer genomics and epigenomic data analysis.
• Proficiency in R, Python or Bash for data analysis, visualization, and pipeline development.
• Experience working in Linux/Unix environments and using high-performance computing clusters.
• Familiarity with workflow management tools (e.g., Snakemake, Nextflow) and version control (e.g., Git).
• Demonstrated ability to work independently and as part of a team in an interdisciplinary setting.
• Excellent communication skills, including scientific writing and presentation.
• Asset: Familiarity with nucleotide-resolution methylation data (e.g., WGBS, enzymatic methylation sequencing) or background in lymphoma or hematological malignancies.