Data Analyst (Biological Sciences) 8-month Co-op

Data lovers, unite! Lumerate is searching for an awesome post-secondary student to join us for an Data Analyst (Biological Sciences) 8-month Co-op!

Who is Lumerate?

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. We also strive to achieve our own personal full pictures from a career fulfillment and learning perspective. We’re in the business of gathering intelligence about industries and delivering it to the right people within those industries through innovative software interfaces. 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.

What the role looks like:

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.

What You’ll Do! More about you!

• 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.

More about you!

• You enjoy hunting for information on the web.
• You’re highly organized and comfortable working independently.
• You possess a foundational understanding of biological sciences (e.g., Biochemistry, Bioinformatics, Genetics, or Molecular Biology). You don't just see data points; you understand the biological context behind life science research topics.
• You are comfortable navigating research environments and can interpret experimental data or distill complex scientific findings into structured information.
• You have a strong focus on building and maintaining data flows rather than just app development. You enjoy the gritty work of ensuring information moves accurately and reliably from one stage to the next.
• You’re detail-oriented, so you’ll notice that 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.
• 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.

As we're funding this position with the assistance of the Student Work Placement Program and the Ontario Co-operative education tax credit, candidates must meet the following eligibility requirements:

• Registered full-time or part-time under 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.

Location: If the successful candidate is based in the Greater Toronto Area, she/he/they can choose to participate in our hybrid experience, by working from home 2 days/week, while enjoying the benefits of in-person interactions at our Toronto office 3 days/week.

If our successful candidate is based elsewhere in Canada, he/she/they will work remotely 100% of the time.

Salary: $3500 - $3800 CAD per month

Working Hours: 9am - 5pm EST, Mon-Fri

Start Date: May 4th, 2026

End Date: December 18, 2026

Already picturing your first day as our next Data Analyst