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Postdoctoral Researcher

  • Montréal, QC
  • On-site
  • Posted Oct 15, 2026
  • 1 position

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Employment type
Full-time
Minimum education
Master’s degree
Posting language
English
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Analyze and integrate transcriptomic, epigenomic, chromatin interaction, and single-cell or single-nucleus datasets to identify cardiac regulatory mechanisms. Develop reproducible workflows, prioritize candidates for experimental validation, collaborate with experimental researchers, contribute to manuscripts and grant proposals, and support trainees.

Job details

Postdoctoral Fellow in Bioinformatics Cardiac genetics and epigenetics Lab Montreal Heart Institute, Faculty of Medicine, University of Montreal The Cardiac Regulatory Genomics Lab at the Montreal Heart Institute is recruiting a postdoctoral fellow in bioinformatics. We investigate how noncoding DNA, long noncoding RNAs and three-dimensional chromatin architecture regulate cardiovascular development, function and disease. Research Opportunity The fellow will integrate computational genomics with experimental studies to identify and characterize cardiac regulatory mechanisms. Research directions include enhancer–gene interactions, noncoding RNA function and the functional interpretation of genetic variants associated with cardiovascular disease, including hypertrophic cardiomyopathy. Key Responsibilities · Analyze and integrate transcriptomic, epigenomic and chromatin interaction datasets, including single-cell or single-nucleus data. · Develop reproducible analysis workflows and prioritize candidate regulatory elements, RNAs and disease-associated variants for experimental validation. · Work closely with experimental researchers, contribute to manuscripts and grant proposals, and support trainee development. Candidate profile · PhD completed or nearing completion in bioinformatics, computational biology, genomics or a related discipline. · Strong programming skills in R and/or Python, experience with Linux and statistical analysis, and demonstrated ability to analyze high-throughput sequencing data. · Experience in regulatory genomics, multiomics integration or single-cell analysis is an asset; interest in cardiovascular biology and collaborative research is essential. How to apply Please email a CV, a short cover letter describing your research interests and relevant computational experience, and the names and contact details of two referees. Include “Postdoctoral Bioinformatics Application” in the subject line. Contact: chukwuemeka.anene-nzelu@umontreal.ca We welcome applications from candidates with diverse backgrounds and perspectives.

What you’ll do

Analyze and integrate transcriptomic, epigenomic, chromatin interaction, and single-cell or single-nucleus datasets to identify cardiac regulatory mechanisms. Develop reproducible workflows, prioritize candidates for experimental validation, collaborate with experimental researchers, contribute to manuscripts and grant proposals, and support trainees.

Requirements

Applicants must have completed or be nearing completion of a PhD in bioinformatics, computational biology, genomics, or a related discipline. Strong R and/or Python programming, Linux, statistical analysis, and high-throughput sequencing analysis experience are required; regulatory genomics, multiomics, or single-cell experience is an asset, along with an interest in cardiovascular biology and collaborative research.

Listed skills

  • Python · Preferred
  • Linux · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Bioinformatics
  • R
  • Python
  • Linux
  • Statistical Analysis
  • High-Throughput Sequencing Data Analysis
  • Computational Genomics
  • Transcriptomics
  • Epigenomics
  • Chromatin Interaction Analysis
  • Single-Cell Analysis
  • Multiomics Integration
  • Regulatory Genomics
  • Reproducible Workflows
  • Variant Interpretation
  • Collaborative Research

Job areas

  • Science & Research
  • Healthcare
  • Data & Analytics
  • Technology

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