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Data Analyst (Biological Sciences) Co-op

Lumerate

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Location:
Canada , Toronto

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

3500.00 - 3800.00 CAD / Month
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Job Description:

This is a unique opportunity to develop core components of our sales data pipeline as both a technical and subject matter expert. We are looking for a candidate who speaks both Biology and Python, someone who understands the complexity of life science research and wants to apply an engineering mindset to build the pipelines that power our sales data. You will act as the technical bridge, ensuring that our data automation remains grounded in biological context.

Job Responsibility:

  • Own the maintenance of existing data pipelines, primarily within Google Colab, and build new ones to support sales data initiatives
  • Support the team's transition from manual scripting to automated workflow orchestration using Airflow
  • Execute daily technical processes, including distill coverage and publishing events from scripts
  • Act as the technical SME for the sales team, ensuring data accuracy and providing actionable insights
  • Work closely with the broader team on core initiatives, participating in research syncs to understand the why behind the data

Requirements:

  • Registered full-time or part-time under a co-operative education program in a publicly funded Ontario post-secondary institution
  • Canadian citizen, permanent resident or a protected person as defined by the Immigration and Refugee Protection Act
  • Legally entitled to work in Canada, including specific province legislation and regulations
  • Foundational understanding of biological sciences (e.g., Biochemistry, Bioinformatics, Genetics, or Molecular Biology)
  • Proficiency in Python for data manipulation (Pandas, NumPy)
  • Experience with Google Colab is highly preferred
  • Experience with (or a strong desire to learn) workflow orchestration tools like Airflow
  • Can act as a technical SME for a sales team, explaining technical data processes to provide clear, actionable business value
  • High bar for data integrity and find joy in auditing large datasets to ensure 100% accuracy
  • Enjoy hunting for information on the web
  • Highly organized and comfortable working independently
  • Comfortable navigating research environments and can interpret experimental data or distill complex scientific findings into structured information
  • Strong focus on building and maintaining data flows
  • Detail-oriented

Additional Information:

Job Posted:
February 24, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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