Spring 2027 Co-op, Performance Excellence and Business Transformation

Vertex Pharmaceuticals • Boston, MA

5d • $30 - $35 • Hybrid

About The Position

The Vertex Performance Excellence and Business Transformation (PEBT) Co-op is a six-month experiential training program for students pursuing an advanced degree in Business Analytics, Health Informatics, Data Science, Operations Research, or a related field. The co-op supports operational excellence across Global Clinical Operations (GCO) by applying digital transformation, AI, automation, and data-driven decision-making to improve clinical development operations.

Working with the Digitization Strategy Center of Excellence and Performance Excellence teams, the co-op will evaluate, prototype, and scale AI and automation opportunities. The work includes mapping business processes, analyzing operational challenges, developing proofs of concept with low-code/no-code platforms and analytics tools, and using data to inform decisions. The role also supports the platform used to track performance metrics, building experience in platform use, data integration, technical documentation, process design, and continuous improvement.

This is a full-time, paid, temporary co-op role scheduled for January through July 2027, with 40 hours of work per week. The position is hybrid in Boston, with three days per week onsite and ad hoc flexibility. The selected candidate will be employed by a third-party agency partner that provides services to Vertex; the agency will present compensation, benefits, and other employment terms upon offer. The posting lists compensation of $30.00–$35.00 per hour. Candidates must be legally authorized to work in the United States, and Vertex does not provide sponsorship for internships, co-ops, or entry-level roles in this part of the organization.

Requirements

• Currently pursuing a master's degree in Business Analytics, Health Informatics, Data Science, Operations Research, or a related discipline.
• Strong analytical and structured problem-solving skills, including the ability to translate ambiguous business challenges into defined processes, requirements, and solution opportunities.
• Experience documenting and improving business processes through process mapping, workflow analysis, value stream mapping, or similar methodologies.
• Ability to work at the intersection of business and technology and communicate effectively with operational stakeholders and technical teams.
• Hands-on experience developing or deploying solutions using low-code, no-code, or business productivity platforms.
• Ability to organize and analyze data, identify trends and insights, and communicate findings through presentations, dashboards, and executive-ready recommendations.
• Comfort working in a fast-paced environment with evolving priorities and incomplete information.
• Legal authorization to work in the United States now and in the future; sponsorship is not provided for these roles.
• Must be enrolled in an advanced degree program if graduating before May 2027.
• Must be available to work full-time, 40 hours per week, from January through July 2027.

Nice To Haves

• Coursework or demonstrated experience in analytics, process improvement, operations management, digital transformation, AI, or technology enablement.
• Familiarity with emerging AI technologies, including generative AI, agentic workflows, predictive analytics, and intelligent automation.
• Experience with platforms such as Microsoft Copilot, Copilot Studio, Power Automate, Power Apps, or comparable technologies.
• Fundamental Python and/or SQL scripting experience sufficient to support rapid prototyping, data analysis, or collaboration with technical development teams.
• Exposure to healthcare, biotechnology, pharmaceutical, clinical research, or other regulated industries.
• Interest in digital transformation, operational excellence, and applying technology to solve complex business problems.

Responsibilities

• Develop process maps and workflow analyses for high-priority GCO processes to identify opportunities for automation, AI augmentation, and efficiency gains through technology integration.
• Analyze manual clinical operations processes and develop future-state workflows incorporating automation or agentic AI capabilities, such as Copilot.
• Build proof-of-concept agents using low-code/no-code enterprise platforms.
• Create analyses, reports, presentations, and executive summaries communicating opportunities, progress, outcomes, and business value.
• Develop metrics and dashboards to track adoption, efficiency gains, and business impact, including return on investment, for AI-enabled initiatives.
• Complete platform training and develop proficiency in its functionality, data structures, workflows, and reporting in order to develop training documentation.
• Document technical requirements, data flows, business rules, dependencies, and controls needed to incorporate Vertex data.
• Draft and help implement operating processes, work instructions, governance routines, data-quality reviews, issue resolution, and platform administration.
• Identify and document enhancement opportunities and support requirements gathering, testing, stakeholder feedback, deployment readiness, and measurement of improvements.

Benefits

• Free 24/7 onsite gym access and free access to group exercise classes.
• Subsidized commuter benefits for transit and parking.
• Provided meals, including free breakfast daily.
• Career development opportunities and events, including C-suite engagement.
• Social events for interns and company-wide.
• Location-specific perks and extras.
• Recognition of National Intern Day.
• Vertex describes broader Total Rewards offerings that include medical, dental, and vision benefits; paid time off, including a week-long summer and winter company shutdown; educational assistance programs including student loan repayment; a commuting subsidy; matching charitable donations; and a 401(k). The posting notes that the third-party agency will present the benefits applicable to this role upon offer.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern