Co-op/Intern Software Developer, Core Algorithms (Life Sciences)

Kinaxis Inc.•Ottawa, ON

5d•Hybrid

About The Position

This co-op/internship is with the Life Sciences Core Algorithms Delivery Team, focused on solving meaningful supply chain challenges faced by the Life Sciences industry, including manufacturers of pharmaceutical products (such as vaccines), medical devices, and biotechnologies. You will help companies in this field plan and deliver essential products more efficiently and reliably. You’ll be part of a collaborative group that values clean code, thoughtful design, and real world impact, supported by experienced mentors and a culture that encourages learning and growth. All this, while having fun! You will learn through hands on work supported by a dedicated mentor and alongside experienced developers who value thoughtful code reviews, high quality code, knowledge sharing, and asking questions. We care about growth and encourage an environment where it is safe to learn, experiment, and improve. This is a full-time, 8 or 12 month position starting in September 2026. You must be in the Ottawa, Canada office at least three days a week. This position is open to co-ops and interns. To be eligible, you must be currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date. Work under the guidance of a dedicated mentor who will support your learning journey. Collaborate with developers on feature development and improvements. Your work will include things like improvements to internal tooling, testing and debugging utilities, developer workflows, and select areas of product code, and will include the use of AI assisted development tools. Participate in team discussions, share ideas, and learn from others.

Requirements

Completion of at least 2nd year of studies in a Computer Science or Software Engineering (or equivalent) program
C++ programming experience preferred, with a willingness to expand knowledge
Interest in Object Oriented design and software development best practices
Solid technical foundation, especially in algorithms and data structures
Interest in improving performance and building efficient solutions
Excellent communication skills and a collaborative mindset
Enthusiasm for working in an agile development environment
Proactive approach to taking initiative and seeing work through to completion
Curiosity and willingness to learn from feedback and mentorship
Currently enrolled in full-time education or be a recent/upcoming graduate within 12 months of the placement end date

Responsibilities

Work under the guidance of a dedicated mentor who will support your learning journey
Collaborate with developers on feature development and improvements
Improvements to internal tooling, testing and debugging utilities, developer workflows, and select areas of product code
Use of AI assisted development tools
Participate in team discussions, share ideas, and learn from others