Spring 2027 Co-op, Performance Excellence and Business Transformation

Job Description Kickstart Your Career at Vertex! Are you ready to make a real impact? At Vertex, our mission is to tackle serious diseases and to change lives, for the better, for the future. Our aim is to give you the skills, insights, and career guidance to be an important part of that future; to turn your potential into progression. As a Vertex intern or co-op, you’ll work on meaningful projects, collaborate with talented teams, and learn from industry leaders. We’re passionate about innovation, inclusion, and supporting your growth—inside and outside the lab. Why Vertex? Real Projects: You’ll work on assignments that make a real impact, not just busy work. Mentorship & Networking: Connect with leaders and peers who want to see you succeed through professional networks, connections, and collaborations that will shape your longer-term career. Flexible & Supportive: We offer flexible work options with Flex @ Vertex and prioritize your wellbeing. Inclusive Culture: Collaboration and inclusion are embedded in everything we do. Career Launchpad: Build skills, explore career paths, and get guidance for your future career. Your Impact The Vertex Performance Excellence and Business Transformation Co-Op is a 6-month experiential training program for students currently working towards an advanced degree in Business Analytics, Health Informatics, Data Science, Operations Research, or other related fields. If you are passionate, collaborative, and growth-minded, a co-op at Vertex will help you gain meaningful experience in our Performance Excellence and Business Transformation functional areas and serve as a launchpad for your career. The application deadline for this co-op is November 15th. Please note that Vertex reviews applications on a rolling basis and reserves the right to close this job posting prior to the listed deadline. Applicants can expect to receive an update about their application before or shortly after the application deadline. Ready to apply? Submit your application and let’s turn possibilities into reality! What you will be doing: PEBT (Performance Excellence & Business Transformation) is focused on advancing operational excellence across GCO by leveraging digital transformation, AI, automation, and data-driven decision making to improve the efficiency and effectiveness of clinical development operations. The Digitization Strategy COE serves as a key engine for this transformation, driving the evaluation and deployment of AI-enabled capabilities such as agentic workflows, digital protocols, process intelligence, predictive analytics, and AI-assisted document generation. The PEBT Co-op will partner with GCO team members to evaluate, prototype, and scale AI and automation opportunities that enhance the efficiency and effectiveness of clinical operations. Responsibilities include mapping business processes, analyzing operational challenges, developing proofs of concept using low-code / no-code platforms as well as analytics tools, and using data to inform decision making. Success in this role requires the ability to navigate ambiguity, break down complex problems, and translate business needs into practical, buildable solutions. The role will also support the Performance Excellence workstream by helping enable and sustain the platform used to track performance metrics. The Co-op will develop practical experience in platform use, data integration, technical documentation, process design, and continuous improvement while partnering with Performance Excellence, GCO business stakeholders, data owners, and technical teams. Key Responsibilities: The PEBT Co-op will work closely with the Digitization Strategy COE & Performance Excellence team on several priority transformation projects. Examples of these project areas include: Develop process maps and workflow analyses for high-priority GCO processes to identify opportunities for automation, AI augmentation, and efficiency gains via technology integration. Analyze manual clinical operations processes and develop a future-state workflow that incorporates automation or agentic AI capabilities, e.g. 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, i.e. ROI, for AI-enabled initiatives. Complete platform training and develop proficiency in its functionality, data structures, workflows, and reporting to develop training documentation. Document the 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. Qualifications: Currently pursuing a master’s degree in: Business Analytics, Health Informatics, Data Science, Operations Research, or a related discipline Coursework or demonstrated experience in analytics, process improvement, operations management, digital transformation, AI, or technology enablement preferred. Strong analytical and structured problem-solving skills, with the ability to translate ambiguous business challenges into clearly defined processes, requirements, and solution opportunities. Experience documenting and improving business processes through process mapping, workflow analysis, value stream mapping, or similar methodologies. Familiarity with emerging AI technologies, including generative AI, agentic workflows, predictive analytics, and intelligent automation. Demonstrated ability to work at the intersection of business and technology, effectively communicating with both operational stakeholders and technical teams. Hands-on experience developing or deploying solutions using low-code, no-code, or business productivity platforms. Examples include Microsoft Copilot, Copilot Studio, Power Automate, Power Apps, or comparable technol