Quality Engineering Co-op/New Grad - Automation

GENERAL DESCRIPTION:

The Quality Engineering Co-op will work with Post-Market Quality Engineers (QE) to ensure accurate and timely surveillance of products in the market. We will monitor product performance, trends and risk of products in the field. In addition to conducting post market surveillance activities, the Quality Engineering Co-op will also help support in creating new tools for post market surveillance monitoring to drive accuracy and efficiency.

The role is focused on developing automation solutions, AI-enabled workflows, agents, dashboards, and analytical tools that support the collection, compilation, analysis, and reporting of quality and product performance data. These solutions will be used to improve efficiency, accuracy, and decision-making across Post-Market Surveillance, Complaint Handling, Risk Management, and Quality Engineering activities.

A successful candidate will have a strong technical foundation and demonstrated experience using AI tools, specifically Microsoft Copilot and Claude, to automate workflows, accelerate analysis, and improve engineering productivity. The ideal candidate is highly self-motivated, capable of independently driving projects forward, and comfortable collaborating with a broad range of engineering disciplines and business functions. The role requires someone who has great communication, problem-solving, and technical skills.

ESSENTIAL FUNCTIONS:

· Gather and analyze field data from internal data sources for post-market surveillance of a wide range of medical devices.

· Work closely with the Post-Market Quality Engineers to understand the product portfolios and conduct risk assessments

· Document post market surveillance reports in accordance to internal procedures and regulatory requirements.

· Support in developing new tools for Post Market Surveillance and trending

· Support in validation of data dashboards used for Post Market Surveillance

· Provide inputs and feedback on opportunities and potential solutions to improve surveillance and trending processes for efficiency and accuracy.

· Identify opportunities to leverage AI, large language models, and automation technologies to improve team productivity and quality outcomes.

· Collaborate and contribute to Stryker AI initiatives, primarily focusing on developing agents and power automate workflows to simplify day to day engineering tasks.

QUALIFICATIONS:

· Education & Work Experience:

o third year undergrad or later

· Availability: 8-12 months starting December 2026 or January 2027

· Knowledge:

o Experience with data analytics (preferably in PowerBI and Python)

o Experience with medical device regulations (FDA and EU MDR) o Experience with 365 Power Automate and Sharepoint

o Proficiency using Copilot Studio or similar architecture

o Proficient in Excel, Word and PowerPoint

o Strong experience accessing and compiling data from multiple sources

o Ability to effectively communicate ideas / concepts and document findings.

· General Skills:

o Commitment to excellence and high standards

o Excellent written and oral communication skills

o Excellent organizational, problem-solving, and analytical skills o Ability to manage priorities and workflow in a rapidly changing environment.

o Versatility, flexibility, and a willingness to work within constantly changing priorities with enthusiasm.

o Proven ability to handle multiple projects and meet deadlines.

o Strong interpersonal skills

o Good judgment with the ability to make timely and sound decisions.

o Confidence performing independent research and utilizing cross-collaborative relationships to identify tools and solutions to problems

o Familiarity with Medical Device Standards including ISO 13485, ISO 14971 o Candidates with experience leading independent or collaborative AI projects preferred