Quality Control Strategy and Science Spring Co-op

Bristol Myers Squibb
Bristol Myers Squibb logo
Location
New Brunswick - NJ - US
Job Type
Full-time
Posted
October 31, 2026

Job Description

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

The Commercial Analytical Science (CAS) team within the Quality Control Strategy and Science (QCSAS) department is embedding AI into its everyday work, and this co-op is dedicated entirely to that goal. The co-op will design, build, and roll out Claude-based workflows that make the team more efficient and allow us to complete more high-quality work. This is a hands-on role for a student with deep knowledge of AI tools.

Over six months, the co-op will develop Claude Projects, Artifacts, templates, and Claude Cowork workflows, then train the group to use them with confidence. By the end of the term, Claude should be an integral part of how the team works, supported by a playbook and handoff plan that sustains the program after the co-op ends.

Key Responsibilities

  • Build and maintain Claude Projects tailored to the team’s recurring analytical tasks, with clear instructions, curated knowledge, and documented use cases.
  • Develop Artifacts (interactive tools, calculators, dashboards, and reports) that streamline routine analyses and deliverables.
  • Create reusable Claude templates and prompt libraries so colleagues get consistent, high-quality results.
  • Use Claude Code to automate and script analytical tasks, data handling, and document generation.
  • Build and test multi-step workflows in Claude Cowork that take repetitive work off the team’s plate.
  • 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, demos, and office hours, driving 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.

Qualifications & Experience

Required

  • Currently enrolled in an undergraduate or graduate program (degree programs in a biological, chemical, or physical science will be given a preference, but not required).
  • 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, with the ability to explain technical concepts to non-experts.
  • Ability to work independently, manage priorities, and meet deadlines.
  • Availability for 20-30 hours/week for the full 6-month term.
  • All candidates must be legally authorized to work in the United States at the time of hire and for the duration of their employment. Please note that visa sponsorship, including for student or temporary work authorization programs, is not available for this role. Candidates must have work authorization that does not require sponsorship now or in the future.

Highly valued

  • Coursework and/or certifications in AI, machine learning, or Claude (e.g., Anthropic’s 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.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

$24.00 - $45.00

Pay for this internship/co‑op position is provided in accordance with local market practices and applicable laws. Pay may be offered as an hourly rate and/or monthly stipend, or other locally compliant structure. Pay is determined based on objective factors such as academic level, relevant experience, skills, and work location.

At Bristol Myers Squibb, our employees often ask, “Who are you working for?”—a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

The Commercial Analytical Science (CAS) team within the Quality Control Strategy and Science (QCSAS) department is embedding AI into its everyday work, and this co-op is dedicated entirely to that goal. The co-op will design, build, and roll out Claude-based workflows that make the team more efficient and allow us to complete more high-quality work. This is a hands-on role for a student with deep knowledge of AI tools.

Over six months, the co-op will develop Claude Projects, Artifacts, templates, and Claude Cowork workflows, then train the group to use them with confidence. By the end of the term, Claude should be an integral part of how the team works, supported by a playbook and handoff plan that sustains the program after the co-op ends.

Key Responsibilities

  • Build and maintain Claude Projects tailored to the team’s recurring analytical tasks, with clear instructions, curated knowledge, and documented use cases.
  • Develop Artifacts (interactive tools, calculators, dashboards, and reports) that streamline routine analyses and deliverables.
  • Create reusable Claude templates and prompt libraries so colleagues get consistent, high-quality results.
  • Use Claude Code to automate and script analytical tasks, data handling, and document generation.
  • Build and test multi-step workflows in Claude Cowork that take repetitive work off the team’s plate.
  • 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, demos, and office hours, driving 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.

Qualifications & Experience

Required

  • Currently enrolled in an undergraduate or graduate program (degree programs in a biological, chemical, or physical science will be given a preference, but not required).
  • 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, with the ability to explain technical concepts to non-experts.
  • Ability to work independently, manage priorities, and meet deadlines.
  • Availability for 20-30 hours/week for the full 6-month term.
  • All candidates must be legally authorized to work in the United States at the time of hire and for the duration of their employment. Please note that visa sponsorship, including for student or temporary work authorization programs, is not available for this role. Candidates must have work authorization that does not require sponsorship now or in the future.

Highly valued

  • Coursework and/or certifications in AI, machine learning, or Claude (e.g., Anthropic’s 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.

We hire for skills and capabilities, not just credentials – if this role excites you, but doesn’t perfectly match your resume, we encourage you to apply anyway.

Compensation Overview

$24.00 - $45.00

Pay for this internship/co‑op position is provided in accordance with local market practices and applicable laws. Pay may be offered as an hourly rate and/or monthly stipend, or other locally compliant structure. Pay is determined based on objective factors such as academic level, relevant experience, skills, and work location.

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.

This is a temporary, time‑bound position intended for the duration of the internship or co‑op program and does not guarantee continued or permanent employment following program completion.

How We Work

Where you work matters – because collaboration, innovation and patient impact happen in many settings. Our roles are structured across four work models: site-essential, site-by-design, field-based and remote-by-design. The model assigned to this role is based on its core responsibilities. Learn more at https://careers.bms.com/ways-of-working.

Supporting People with Disabilities

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.

Candidate Rights

BMS will consider qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.

For roles based in Los Angeles County only:  If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: https://careers.bms.com/california-residents/

For roles based in Washington State only: If you live in or expect to work from Washington State if hired for this position, please visit this page for important information about the Washington Fair Chance Act.

Data Protection

We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.

Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

If this posting is missing required information required by local law or incorrect, contact BMS at TAEnablement@bms.com with the Job Title and Requisition number. Do not send application-related inquiries to this email. To check your application status, please login to your Candidate Home Account.

R1608003 : Quality Control Strategy and Science Spring Co-op

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Frequently Asked Questions

Where is this co-op located, and what is the work model?
The position is based in New Brunswick, NJ, US. BMS structures roles across four work models (site-essential, site-by-design, field-based, and remote-by-design) assigned by core responsibilities, though the specific model for this role is not explicitly stated.
What are the required qualifications for this role?
Applicants must be enrolled in an undergraduate or graduate program, demonstrate fluency with Claude and Claude Code (providing work examples), possess strong communication skills, work independently, and be available 20-30 hours per week for the 6-month term. Candidates must also have valid U.S. work authorization.
What are the key responsibilities of the co-op?
The co-op will embed AI into the team by building Claude Projects, interactive Artifacts, prompt templates, and Claude Cowork workflows. Additional duties include using Claude Code to automate tasks, meeting with the team to identify bottlenecks, writing a playbook with guardrails, and conducting workshops and office hours.
What is the pay range for this position?
The pay rate is $24.00 to $45.00 per hour (or equivalent compliant pay structure). Pay is determined by factors such as academic level, relevant experience, skills, and work location.
Is visa sponsorship or relocation support offered?
No. Visa sponsorship, including student or temporary work authorization programs, is not available. Candidates must already be legally authorized to work in the United States at hire and throughout employment without requiring current or future sponsorship. Relocation support is not mentioned.
What benefits are provided?
Interns and co-op participants may be eligible for limited benefits depending on the program structure, work location, and local requirements. Eligibility and specific offerings are governed by applicable company policies and employment regulations.
What are the application requirements and process?
Applicants should provide examples of their work demonstrating fluency with Claude and Claude Code. Candidates can check their application status by logging into their Candidate Home Account. BMS does not ask for payments, financial details, or social security numbers during recruitment.

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  • 26 open roles
  • Verified H-1B salary data
  • Clinical-trial hiring momentum
  • Culture, benefits & locations
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Job Information

Source: manual
AI Relevance: 85/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
bristol myers squibb machine learning data science

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