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Intern, AI (PMO)

Veracyte
CompanyVeracyte
CategoryData & Analytics
LocationRemote
RemoteRemote
EmploymentNot stated
LevelIntern
SalaryNot stated by the employer
Posted14 Jul 2026
Last verified5 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
At Veracyte, we offer exciting career opportunities for those interested in joining a pioneering team that is committed to transforming cancer care for patients across the globe. Working at Veracyte enables our employees to not only make a meaningful impact on the lives of patients, but to also learn and grow within a purpose driven environment. This is what we call the Veracyte way  – it’s about how we work together, guided by our values, to give clinicians the insights they need to help patients make life-changing decisions.  Our Values: We Seek A Better Way : We pursue bold ideas, embrace complexity, and keep pushing forward. We Make It Happen : We act with urgency, deliver with excellence, and always find a way.  We Are Stronger Together : We engage with empathy, align around what's best for Veracyte, and celebrate as one team.  We Care Deeply : We show up with integrity, kindness, and respect for one another.    The Position: We are seeking a curious, resourceful, and detail-oriented Student Intern to join the PMO team for a part-time, 4-week internship focused on AI prompt development and agent creation using Copilot. In this role, you will help design and improve prompts and lightweight AI agents that support PMO workflows across data ecosystems, making project information easier to access, summarize, and act on. This is a great opportunity for a student who enjoys learning quickly, experimenting thoughtfully, and turning business needs into practical AI-enabled solutions. Partner with the PMO team to understand project management workflows, recurring needs, and opportunities to improve efficiency with Copilot Write, test, and refine AI prompts that support PMO use cases such as project updates, status summaries, risk tracking, action item follow-up, meeting preparation, and documentation Help create and organize Copilot-based agents that support PMO processes across data ecosystems Evaluate AI-generated outputs for quality, clarity, usefulness, and consistency, and recommend improvements based on testing results Document prompt patterns, agent logic, use cases, lessons learned, and best practices so solutions can be reused and scaled Support the development of simple governance and quality standards for prompt writing and agent usage within the PMO team Collaborate with stakeholders to translate business questions into structured AI interactions that improve productivity and decision-making Identify opportunities to streamline access to project data, reporting content, and knowledge resources through effective prompt and agent design Participate in team meetings, working sessions, and reviews, providing updates on progress, findings, and recommendations Stay current on emerging prompt engineering techniques and practical uses of Copilot that can enhance PMO operations Contribute to a team environment that values curiosity, collaboration, learning, and continuous improvement Who You Are: Required Qualifications Currently enrolled in a Bachelor’s or Master’s program in Business, Project Management, Computer Science, Information Systems, Data Science, Communications, or a related field • Strong written communication skills and the ability to create clear, concise, and well-structured content • Interest in generative AI, prompt engineering, and practical business applications of AI tools • Familiarity with Microsoft 365 and basic understanding of Copilot or similar AI tools • Strong attention to detail and ability to assess outputs for accuracy, quality, and usefulness • Ability to organize information, manage multiple tasks, and work effectively in a part-time internship setting over a 6-week period • Comfortable working with ambiguity, learning quickly, and iterating based on feedback • Collaborative mindset with a willingness to ask thoughtful questions and contribute ideas Preferred Qualif
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