Regulatory Affairs Labeling Operations AI Innovation Co-op

Regulatory Affairs Labeling Ops 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.

• 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 Power Apps, Power Automate, 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.

• Must be a current undergraduate, graduate, or advanced degree student in good academic standing.
• Student must be enrolled at a college or university for the duration of the co-op.
• Overall cumulative minimum GPA of 3.0 (on a 4.0 scale) preferred.
• Major required in:
  Computer Science, Data Science, Artificial Intelligence, Computer Engineering, or related technical discipline.
• Minor preferred in:
  Pharmaceutical Sciences, Life Sciences, Biology, Chemistry, or related scientific field.
• 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.
• For students on a work visa, student must have pre-approved visa through the current college or university and eligibility to work 40 hours/week for six (6) months or more.

• 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…