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Data Analyst Biological Sciences 8-month Co-op

Lumerate

Canada · Hybrid Full-time Entry Level CA$4k – CA$4k/mo 5d ago

About the role

Overview

Data lovers, unite! Lumerate is searching for an awesome post‑secondary student to join us for a Data Analyst (Biological Sciences) 8‑month Co‑op!
Lumerate is a Toronto‑based SaaS company that has built game‑changing technology to help sales teams accelerate revenue growth. We help our customers achieve the full picture of their industries and strive to achieve our own personal full pictures from a career fulfillment and learning perspective.

Our vision is to be the world's most useful and trusted source of information for professionals seeking to understand what's happening in their industry.

Our mission:
To deliver industry awareness to an ever‑increasing number of people, in whatever way helps them to make the most informed decisions, take the most immediate action and be the most awesome at their unique jobs.

About the Team

  • You will be part of a team that operates at the intersection of biological research and commercial data.
  • Unlike traditional support roles, you will be a central, integrated member of the team.
  • Your work will directly impact our ability to maintain, fix, and evolve the data pipelines that drive our core initiatives.

Responsibilities

  • 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

  • You enjoy hunting for information on the web.
  • Highly organized and comfortable working independently.
  • Foundational understanding of biological sciences (e.g., Biochemistry, Bioinformatics, Genetics, or Molecular Biology).
  • Ability to understand the biological context behind life science research topics.
  • 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 rather than just app development.
  • Enjoy the gritty work of ensuring information moves accurately and reliably from one stage to the next.
  • Detail‑oriented (you’ll notice we’d like you to mention what shape can be found at the coordinates 1.347000, 17.154400).
  • Proficiency in Python is a must, specifically for data manipulation (Pandas, NumPy).
  • Experience with Google Colab is highly preferred, as it is the backbone of our current workflows.
  • Experience with (or a strong desire to learn) workflow orchestration tools like Airflow to move beyond manual scripting.
  • Ability to act as a technical SME for our sales team, explaining technical data processes in a way that provides clear, actionable business value.
  • High bar for data integrity and joy in auditing large datasets to ensure 100% accuracy.

Eligibility

  • 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 compliance with specific provincial legislation and regulations.

Location

  • Greater Toronto Area: Hybrid experience – work from home 2 days/week and in‑person at our Toronto office 3 days/week.
  • Elsewhere in Canada: Remote 100% of the time.

Compensation

  • Salary: $3,500 – $3,800 CAD per month

Working Hours

  • 9 am – 5 pm EST, Monday‑Friday

Timeline

  • Start Date: May 4th, 2026
  • End Date: December 18, 2026

Application Process

  • Apply now with your cover letter and resume.
  • Note: Applications without a cover letter will not be considered.
  • Candidates must be legally eligible to work in Canada.

Equal Opportunity Statement

Lumerate is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Requirements

  • Proficiency in Python is a must, specifically for data manipulation (Pandas, NumPy).
  • Experience with Google Colab is highly preferred, as it is the backbone of our current workflows.
  • Experience with (or a strong desire to learn) workflow orchestration tools like Airflow to move beyond manual scripting.
  • You can act as a technical SME for our sales team, explaining technical data processes in a way that provides clear, actionable business value.
  • You have a high bar for data integrity and find joy in auditing large datasets to ensure 100% accuracy.
  • Registered full‑time or part‑timeunder a co‑operative education program in a publicly funded Ontario post‑secondary institution.
  • A 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.

Responsibilities

  • 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.

Skills

AirflowGoogle ColabNumPyPandasPython

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