Data Associate – Winter/Spring 2027

This is a fully remote position, open to applicants in Canada.

📋 Description

• Identify, review, and assess content from pharmaceutical, biotechnology, or MedTech company websites.

• Integrate curated content into the platform for users utilizing data and machine learning techniques.

• Engage in data projects that enhance the richness of information accessible to users.

• Handle spreadsheets, carry out prompt engineering for large language models, and apply basic coding skills.

• Collaborate on a daily basis with the Zymewire or Zapyrus data teams.

• Assist in ensuring users receive timely and comprehensive industry updates for their sales and marketing initiatives.

• Complete a 4-month rotation with both the Zymewire and Zapyrus teams.

⛳️ Requirements

• Must be registered full-time or part-time in a co-operative education program at a publicly funded Ontario post-secondary institution and enrolled throughout the co-op duration.

• Must be a Canadian citizen, permanent resident, or protected individual as defined by the Immigration and Refugee Protection Act.

• Legally authorized to work in Canada.

• Educational background in STEM (biology, chemistry, or physics).

• Interest in medical technologies or healthcare.

• Experience and enthusiasm for prompt engineering for large language models along with foundational coding experience.

• Highly organized with strong attention to detail.

• Proficient and comfortable with Excel/Google Sheets.

• Tech-savvy and eager to work in a software company.

• Inquisitive, detail-oriented, and capable of solving complex problems.

• Available for an 8-month co-op/internship term.

• Cover letter must include the word located at coordinates 43.63612711640289, -79.44091416807237.

🏝️ Benefits

• 8-month rotational placement across two brands.

• Practical experience in the biotech/pharma and MedTech industries.

• Insight into the practical applications of data science.

• Understanding of various career paths.

• Collaboration with a seasoned team proficient in machine learning, development, business, and organizational culture.

• Opportunity to contribute to the future of a self-funded and profitable Canadian tech firm.