Cloud Pipeline Developer in Mississauga, ON

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  Job Description

The Big DipIR platform provides tools and infrastructure for managing digital imaging data assets following FAIR principles, supporting critical path research and development programs.

  • We're seeking a Computational Biologist to develop robust Python-based algorithms and analysis pipelines for processing biological imaging data on cloud infrastructure.

Essential Qualifications

  • Strong Python programming expertise with demonstrated experience in scientific computing libraries
  • Proficiency with cloud computing, particularly AWS (EC2, S3, Batch)
  • Understanding of containerization (Docker) and version control (GitLab)
  • Strong communication skills to work with multidisciplinary scientific teams

Preferred Qualifications

  • Experience with workflow languages (Nextflow, WDL, or Snakemake)
  • Background in high-performance computing or distributed systems
  • Experience with scientific data formats and metadata standards
  • Experience in image analysis or computational biology algorithms

Key Responsibilities

  • Design and implement scalable Python algorithms for biological image processing
  • Optimize computational performance of existing analysis pipelines
  • Create and maintain containerized environments for reproducible analysis
  • Collaborate with scientists to translate analytical needs into computational solutions
  • Develop automated testing and validation procedures
  • Document analysis methods and maintain technical documentation

Technical Environment

  • Primary language: Python
  • Cloud platform: AWS
  • Version control: GitLab
  • Containerization: Docker
  • Scientific Workflow Engineer


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