The Commercial Analytical Science (CAS) team within the Quality Control Strategy and Science (QCSAS) department is embedding AI into its everyday work. This six-month co-op is dedicated to designing, building, and rolling out Claude-based workflows that improve team efficiency and support high-quality work. The student will develop Claude Projects, Artifacts, templates, and Claude Cowork workflows, then train the group to use them. The role aims to make Claude an integral part of the team's work, supported by a playbook and handoff plan to sustain the program after the co-op ends. The role is intended for a student with demonstrated fluency in AI tools, especially Claude and Claude Code. The co-op will work with team members to identify workflow bottlenecks, build and test solutions, document responsible-use practices, and support adoption through training and coaching.
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Job Type
Part-time
Career Level
Intern
Education Level
No Education Listed