Quality Control Strategy and Science Spring Co-op

Bristol Myers Squibb•New Brunswick, NJ

About The Position

The Commercial Analytical Science (CAS) team within Bristol Myers Squibb’s Quality Control Strategy and Science department is embedding AI into everyday work. This six-month co-op is dedicated to designing, building, and rolling out Claude-based workflows that improve team efficiency and enable more high-quality work. The student will create Claude Projects, Artifacts, templates, and Claude Cowork workflows, then train the group to use them. The position culminates in a team playbook and handoff plan to help sustain the program after the co-op ends. The co-op will work with team members to identify bottlenecks and prioritize use cases, develop and test AI tools and workflows, document responsible-use practices and data-handling guardrails, and coach colleagues through workshops, demonstrations, and office hours. The role requires availability for 20–30 hours per week for the full six-month term. Candidates must be legally authorized to work in the United States at hire and throughout employment without current or future visa sponsorship. This is a temporary, time-bound internship/co-op position and does not guarantee continued or permanent employment.

Requirements

  • Currently enrolled in an undergraduate or graduate program.
  • Demonstrated fluency with Claude and Claude Code, including prompt design, Projects, and Artifacts; applicants should provide examples of their work.
  • Strong written and verbal communication skills, including the ability to explain technical concepts to non-experts.
  • Ability to work independently, manage priorities, and meet deadlines.
  • Availability for 20–30 hours per week for the full six-month term.
  • Legally authorized to work in the United States at the time of hire and for the duration of employment, without requiring sponsorship now or in the future.

Nice To Haves

  • A degree program in biological, chemical, or physical science is preferred but not required.
  • Coursework and/or certifications in AI, machine learning, or Claude, such as Anthropic educational courses on Claude and Claude Code or university AI/data science courses.
  • Experience with Claude Cowork or other agentic AI tools.
  • Working knowledge of Python, scripting, or the command line.
  • Experience with scientific data analysis, reporting, or analytical workflows.
  • Prior experience teaching, tutoring, or leading training sessions.
  • Interest in process improvement or change management.

Responsibilities

  • Build and maintain Claude Projects tailored to recurring analytical tasks, including clear instructions, curated knowledge, and documented use cases.
  • Develop Artifacts such as interactive tools, calculators, dashboards, and reports to streamline routine analyses and deliverables.
  • Create reusable Claude templates and prompt libraries to support consistent, high-quality results.
  • Use Claude Code to automate and script analytical tasks, data handling, and document generation.
  • Build and test multi-step Claude Cowork workflows to reduce repetitive work.
  • Meet with team members to identify bottlenecks, prioritize use cases, and measure time savings.
  • Document workflows, best practices, and guardrails, including data handling and responsible use, in a team playbook.
  • Educate and coach the group through hands-on workshops, demonstrations, and office hours to encourage adoption of Claude in daily work.
  • Report progress regularly and present results and recommendations to the team and leadership at the end of the co-op.

Benefits

  • Interns and co-op participants may be eligible for limited benefits depending on program structure, work location, and local requirements; eligibility and offerings are governed by applicable policies and employment regulations.
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