Intern - AI Operations and Enablement, Enterprise Data, Analytics and Innovation

Remote, USA
Posted Jun 13, 2026
Full-time

Intern, AI Operations and Enablement 

  

  

What You’ll Do 

Vaniam Group is building AI into the way we work, and this role gets to work at the center of that effort. As our AI Operations and Enablement Intern, you'll partner with teams across the organization to identify high-leverage workflows, design AI-powered solutions, and create resources that make it easier for every employee to work smarter. This is a hands-on, cross-functional role for someone who thrives at the intersection of process improvement and emerging technology.  

  

What You’ll Work On  

Audit existing workflows across functions (Client Services, Scientific Communications, People Operations, Business Development) to identify repetitive, high-effort tasks suited for AI enablement 

Design and build standardized AI workflow playbooks that document step-by-step processes for using AI tools in day-to-day work 

Develop a reusable prompt library and set of standard operating procedures (SOPs) for Claude, Copilot, and other approved AI tools, tailored to each functional area 

Pilot AI-enabled workflow improvements with at least two teams, gather feedback, and iterate on the playbooks based on real-world use 

Create training materials and quick-reference guides that support AI adoption across the organization 

Present a final recommendations deck to leadership outlining adoption progress, measurable impact, and a roadmap for continued enablement 

  

What You’ll Learn 

How to assess organizational readiness for AI adoption and design change management strategies 

Prompt engineering techniques and best practices for enterprise AI tools, including Claude and Copilot  

Cross-functional stakeholder management in a fully remote, fast-paced environment 

How to translate ambiguous operational challenges into structured, scalable solutions 

The medical communications industry and how AI is reshaping healthcare marketing and scientific engagement 

  

What You Must Have  

Education:  

Currently pursuing a bachelor's or master's degree in business, Information Systems, Data Science, Organizational Development, or a related field  

  

Skills and Competencies: 

Demonstrated interest in AI, automation, or process improvement (coursework, personal projects, or prior experience) 

Strong written and verbal communication skills, with the ability to document processes clearly for non-technical audiences 

Comfort working independently in a fully remote environment with collaborators across multiple time zones 

  

Time Requirements:  

Availability to work at least 20 hours per week for 10–12 weeks (June through August 2026) 

  

The Team You’ll Work Closest With 

You will work closely with the Enterprise Data, Analytics and Innovation department and collaborate with functional teams across Vaniam Group, including Client Services, Scientific Communications, People Operations, and Business Development. 

  

  Why You’ll Love Us 

100% remote environment  

Positive, diverse, and supportive culture 

Passionate about serving clients focused on Cancer and Blood diseases 

Generous parental leave benefit 

Work-Life Balance and Flexibility 

  

    

About Us 

Vaniam Group is an oncology‑led partner to biopharma companies working at the forefront of complex, high‑science medicine. With deep expertise in oncology and hematology, Vaniam Group helps clients make sense of evolving data, emerging insights, and real‑world dynamics so teams can make confident decisions and move programs forward with clarity. The company combines scientific depth, close collaboration with the medical community, and an integrated approach to insight and data that supports strategy across the oncology lifecycle. While oncology is where Vaniam Group’s work is most established and refined, the same rigor and expertise are applied in other therapeutic areas where the science is complex and the stakes are high.

For more information, visit www.VaniamGroup.com.

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