64 days ago
Institution/Company:

CHU de Quebec research centrer - UL

Location:

Quebec City

, Quebec

 Canada

Job Type:

Research Associate

Degree Level Required:

Masters

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Description:

AdLab, a bioinformatics laboratory in the Research Center of the CHU de Québec – Université Laval is deeply involved in data integration, machine learning, deep learning, and the application of large language models to analyse biological big data. Its multidisciplinary team consists of bioinformaticians, data scientists, and biostatisticians working together to push the boundaries of computational biology.

The rapid advancements in ‘omics’ technologies—such as genomics, transcriptomics, proteomics, and metabolomics—are revolutionizing our understanding of biological mechanisms. These technologies, however, generate vast amounts of heterogeneous data that require sophisticated computational approaches. AdLab  is dedicated to developing cutting-edge tools and pipelines to efficiently process and integrate multi-omics data, particularly those obtained from next-generation sequencing platforms and including single-cell and proteomics data. To support this mission, we are seeking a skilled bioinformatician to join our team.



Responsibilities:
  • Development techniques to process transcriptomics, genomics and metagenomics data
  • Perform various basic bioinformatics analyses
  • Perform single-cell analysis and integrate multi-omic datasets.
  • Create automated, reproducible reports.
Qualifications:
  • A master’s/ PhD  degree in bioinformatics or a related field.
  • A strong commitment to advancing bioinformatics research.
  • Proven experience in bioinformatics or computational biology.
  • Proficiency in computer programming and data analysis.
  • Demonstrated expertise in analyzing next-generation sequencing data.
  • Experience in developing complex analytical workflows.
  • Competence in high-performance computing.
  • Experience managing pipelines on supercomputers.
  • Familiarity with SnakeMake.
  • Proficiency in Python and R.
Keywords:

OMICS

DATA

Single Cell

Integration

Development

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