Cloud Pipeline Developer - Scientific Workflows

Job Title: Cloud Pipeline Developer - Scientific Workflows
Job Location: Mississauga, ON
Job Duration: 12 Months (possibility of extension)
Job Summary:

• 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.

• 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.

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.

Technical Environment:

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