Quality Systems Co-op: CAPA, Data & Process Improvement

Boston Scientific Gruppe; Mississauga; Hybrid; CAD 34,000 - 58,000; Full time

Job summary

Boston Scientific in Mississauga, ON, is seeking a Quality Systems Associate for a 12-month co-op starting January 2027. You will support CAPA/NCEPs, data reporting, and cross-functional projects within a global medical device environment, working in a hybrid model (3 days/week in office).

Ideal candidates have an engineering, life sciences, or QA background, basic data analysis skills, and strong organizational and collaboration abilities; MS Office proficiency is required.

Qualifications

• Bachelor’s degree in Engineering, Life Sciences, or Quality Assurance.
• Demonstrated ability to solve problems and learn new concepts, tools, and processes.
• Basic knowledge of data analysis and ability to interpret, organize, or present data.
• Strong organizational, communication, and collaboration skills.
• Ability to take initiative and work with multiple stakeholders.
• Proficiency in Microsoft Office.

Responsibilities

• Support Quality Systems activities, including CAPA and NCEPs.
• Coordinate CAPA and NCEP projects: planning, scheduling, stakeholder coordination, follow-up.
• Assist process improvement to increase efficiency and effectiveness.
• Develop reports and visuals communicating Quality Systems performance.
• Collaborate with cross-functional teams on daily work and projects.
• Support internal/external audit activities as needed.

Skills

Problem solving

Data analysis

Organizational skills

Communication

Collaboration

Initiative

Microsoft Office

Education

Bachelor's degree in Engineering, Life Sciences, or Quality Assurance

Postgraduate certificate or degree in quality assurance/quality engineering/project management

Tools

SharePoint

Power BI

Power Apps

Python

Job description

Boston Scientific in Mississauga, ON, is seeking a Quality Systems Associate for a 12-month co-op starting January 2027. You will support CAPA/NCEPs, data reporting, and cross-functional projects within a global medical device environment, working in a hybrid model (3 days/week in office).

Ideal candidates have an engineering, life sciences, or QA background, basic data analysis skills, and strong organizational and collaboration abilities; MS Office proficiency is required.