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Data Associate (Winter/Spring 2027)

Role overview

Qualifications

  • Background in STEM (biology, chemistry, or physics)
  • Experience and interest in prompt engineering for LLMs
  • Basic coding experience
  • Organized and comfortable using Excel/Google Sheets

Responsibilities

  • Find, review, and analyze content from pharma/biotech or MedTech web sources
  • Work on data projects to expand information depth for users
  • Collaborate with data team on various tasks and projects
  • Ensure users receive up-to-date and comprehensive industry activity

Key facts

Hard skills

Other skills

  • Microsoft Excel
  • Google Sheets
  • Detail Oriented
  • Curiosity
  • Problem Solving

About the company

Lumerate logo

Lumerate

  • AI & Machine Learning
  • SME
  • 51–200
Lumerate is a customer-funded Toronto-based software company. Customer funded means we do things a little differently than VC or Private equity funded companies in Toronto. We zig while others zag. We hire while others fire. We take our time while others rush. 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. If you reached this page as a customer then you might find value in reviewing our specific affiliate pages of Zymewire, Zapyrus or Zebricks. If you reached this page as the next potential Lumerite, then have a look around and get in touch when you're ready to chat. <)

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Job description

Data lovers, unite! Lumerate is searching for TWO awesome post-secondary students to join our data teams! This posting is for an existing vacancy.

Who is Lumerate?

We're in the business of helping people understand and achieve the full picture. We build AI-powered products that help professionals in the medical innovation ecosystem understand and take action on what’s happening in the domains they specialize in. Today, we have multiple products across the ecosystem, each using a shared- yet highly configurable- technology stack that gives each brand a laser focus on the needs of its customers. Tomorrow, our vision is that when tens of thousands of people have Lumerate accounts we will be able to connect this network in ways never before possible to advance medical innovation.

We are looking for two Data Interns for an 8-month rotational placement across two of our brands: Zymewire (Biotech/Pharma) and Zapyrus (MedTech). You will spend 4 months with each team, gaining hands-on experience across two distinct industry sectors.

What the role looks like:

In this role your main responsibility will be to find, review, and analyze content from the pharma/biotech, or MedTech company web sources, bringing them into the platform to be made actionable for our users through data and machine learning processes. You will also be involved in data projects aimed at expanding the depth of information available to our users, using methods which may include: spreadsheet manipulation, prompt engineering for large language models, and basic coding. Please note that this role is largely focused on data quality and sourcing; this is not a data engineering role requiring or involving significant coding experience. You will also work collaboratively with the rest of the Zymewire or Zapyrus data team each day on a number of tasks and projects to ensure that users are receiving the most up-to-date and comprehensive industry activity for their sales and marketing efforts.

As we are funding this position with the assistance of Work Integrated Learning (WIL) and the Student Work Placement Program, 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, and will be enrolled for the duration of the co-op
  • 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 provincial legislation and regulations

More about YOU:

  • You have a background in STEM (biology, chemistry, or physics)
  • You enjoy hunting for information on the web
  • You have an interest in medical technologies or healthcare
  • You have experience and interest in prompt engineering for LLMs (large language models) and basic coding experience
  • You’re highly organized
  • You're very comfortable using Excel/Google Sheets
  • You consider yourself to be tech-savvy, and you’re excited by the idea of working for a software company.
  • You’re curious, detail oriented, and like to solve puzzles. In your cover letter include the word located at these coordinates 43.63612711640289, -79.44091416807237.
  • Your enthusiasm is contagious!
  • You are available for an 8 month co-op/internship term

Lumerate is the right place for you if you’re interested in:

  • Learning about some of the practical applications of data science
  • Gaining an understanding of career options beyond those you may be currently thinking about
  • Being a part of an experienced team with skills in machine learning, development, business and organizational culture
  • Helping to shape the future of a bootstrapped and profitable Canadian tech company

Salary:$3500/month

Location: Remote (Canada-based, Eastern Time Zone only) or hybrid

Start Date: January 4th, 2027

End Date: August 27th, 2027

Already picturing your first day as our next Data Intern? Apply now with your cover letter and resume.We look forward to hearing from you.

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.

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