Process Quality Engineering Data Analytics Co-op (Onsite) - January 2027

Term: January 2027 Duration: 8 months Openings: 1 position Salary Range: $3,650 - $4,525 CAD per month Application Deadline: Monday, October 5, 2026, at 9:30 AM PDT Your opportunity By joining the Kardium team, you can help make a difference in the lives of millions around the world. We have developed a ground-breaking medical device for the diagnosis and treatment of the most common heart rhythm disorder, atrial fibrillation – which can cause stroke, heart failure, and other heart-related complications. Kardium’s mission is to deliver the best treatment for atrial fibrillation. To achieve this, we have developed The Globe® Pulsed Field System – we have a fantastic technical team that has developed a product with strong, unique, and customer-valued differentiators versus other solutions on the market. We have built connections with key opinion leaders who are already using the Globe System and are helping to tell our story. We have obtained FDA approval and officially begun the commercial launch of the Globe® Pulsed Field System. This is a pivotal and exciting time in our journey, as we bring this life-changing technology to patients! As a member of the Process Quality Engineering team, you will gain hands-on experience applying data analytics and problem-solving skills to real-world manufacturing and quality challenges. You will work with engineers and cross-functional teams to analyze data, identify trends, improve reporting tools, and support initiatives that help drive product quality and manufacturing performance. Please note, this opportunity is an onsite work arrangement, located in Burnaby, BC. What You Will Experience You will engage in activities that develop practical and transferable skills such as: Analyzing manufacturing and quality data to identify trends, patterns, and opportunities for improvement. Supporting and enhancing quality and yield dashboards used to monitor manufacturing performance. Assisting with defect tracking and data-driven investiga