Regulatory Affairs Labeling Operations AI Innovation Co-op

Boehringer Ingelheim is currently seeking a highly analytical, technology-driven, and innovative Co-Op to join our US Regulatory Affairs Labeling Operations department located at our Ridgefield facility. This is a hybrid position requiring 2-3 days onsite.

This role is focused on utilizing artificial intelligence, automation tools, and digital solutions to modernize labeling operations workflows, drive greater accuracy, seamless system integration, and enhanced operational efficiency. While the Co-Op will receive foundational exposure to packaging and labeling compliance processes to understand the regulatory environment, the primary focus of this position will be the development of AI-enabled tools, patient-centric digital solutions, and system enhancements that support business objectives.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. In the Regulatory Affairs Labeling Ops AI Innovation Co-Op role, your work will help modernize labeling operations through artificial intelligence, automation, and digital solutions—directly impacting how we deliver compliant, patient-centered labeling and regulatory content. Our global presence provides opportunities for all employees to collaborate internationally, offering visibility and the chance to directly contribute to the company’s success through cross-functional and cross-market initiatives. We realize that our strength and competitive advantage lie with our people, and we support our employees in a number of ways to foster a healthy working environment, meaningful work, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim’s high regard for our employees and their invaluable contributions.

Duties & Responsibilities

• • Gain foundational understanding of labeling and packaging compliance processes.
  • Identify opportunities to streamline package labeling-related workflows and reduce manual data entry across systems.
  • Find ways to Integrate data from email systems, shared drives, and internal databases into centralized and structured tracking platforms.
  • Consider using AI-powered tools or current applications (such as PowerApps, PowerAutomate, SharePoint, etc.) to enhance data extraction and streamline processes.
  • Collaborate with stakeholders to implement scalable digital improvements.
  • Contribute to the planning and drafting of automation solutions aimed at improving processes, tracking, version control, reporting, and operational transparency.
  • Assist in outlining and designing intelligent tracking tools (Excel-based and/or automated dashboards) to monitor and record timelines, submissions, compliance activities, and operational metrics.
  • Support the conceptualization and initial development of patient-centric digital solutions that align regulatory compliance requirements with broader business and patient needs.
  • Evaluate process gaps and propose innovative solutions to enhance speed, accuracy, and efficiency across labeling operations.

Requirements

• Must be a current undergraduate, graduate or advanced degree student in good academic standing.
• Student must be enrolled at an accredited college or university for the duration of the internship/co-op .
• Overall cumulative minimum GPA from last completed quarter/semester 3.0 GPA (on a 4.0 scale) preferred.
• Major or minor in related field of internship/co-op .
• Undergraduate students must have completed at least 12 credit hours at current college or university.
Graduate and advanced degree students must have completed at least 9 credit hours at current college or university.

Eligibility Requirements :

• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required).
• Must be 18 years of age or older.

Desired Skills, Experience and Abilities

• Strong proficiency in Microsoft Excel (advanced formulas, pivot tables, structured data modeling; macros or automation experience preferred).
• Hands-on experience working with LLMs and agentic AI technologies (e.g., Copilot Agents, orchestration frameworks) to design, automate, and optimize business processes.
• Experience or strong interest in AI tools, automation platforms, scripting (e.g., Python, Java, C ), workflow optimization technologies, or programming interface (API) integrations.
• Demonstrated experience coding and building systems, automation tools, dashboards, or lightweight applications from scratch (e.g., Python, web applications, workflow automation, or similar technologies).
• Strong presentation skills, with the ability to clearly explain technical solutions and AI-driven concepts to cross-functional and non-technical stakeholders.
• Ability to connect, structure, and automate data flows between email systems, shared drives, and tracking tools.
• Strong analytical, systems-thinking, and problem-solving skills focused on eliminating inefficiencies.
• Ability to balance patient-centric thinking with regulatory and business requirements.
• Excellent written and verbal communication skills.
• Interest in pharmaceutical, healthcare, or other regulated industries preferred but not required.