Spring 2027 Co-op, Performance Excellence and Business Transformation

Vertex Pharmaceuticals•Boston, MA

3d•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) through digital transformation, AI, automation, and data-driven decision-making. Working with the Digitization Strategy Center of Excellence and Performance Excellence team, the co-op will evaluate, prototype, and support the adoption of AI and automation opportunities for clinical operations. The work includes process mapping, operational analysis, low-code/no-code proof-of-concept development, analytics, and support for a platform used to track performance metrics. The role also provides experience in platform use, data integration, technical documentation, process design, and continuous improvement, in partnership with business stakeholders, data owners, and technical teams. This is a full-time, paid, temporary co-op scheduled for January through July 2027, with a stated requirement to work 40 hours per week. It is a hybrid position based in Boston, with three days per week onsite and ad hoc flexibility. The posting states compensation of $30.00–$35.00 per hour. The selected individual will be employed by a third-party agency partner that provides services to Vertex; the agency will present employment terms and benefits upon offer.

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; the company does not provide sponsorship for internships/co-ops or entry-level roles in this part of the organization.
If graduating before May 2027, must be enrolled in an advanced degree program.
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 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 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 that incorporate automation or agentic AI capabilities, such as Copilot.
Build proof-of-concept agents using low-code/no-code enterprise platforms to address business challenges.
Create analyses, reports, presentations, and executive summaries that communicate 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, and 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.