Regulatory Affairs Labeling Operations AI Innovation Co-op

BoehringerPRD•Brampton, ON

7d•Hybrid

About The Position

Boehringer Ingelheim is seeking a Co-Op to join their US Regulatory Affairs Labeling Operations department. This hybrid role requires 2-3 days onsite and focuses on using artificial intelligence, automation tools, and digital solutions to modernize labeling operations workflows. The goal is to improve accuracy, system integration, and operational efficiency. While gaining exposure to packaging and labeling compliance, the primary focus will be developing AI-enabled tools, patient-centric digital solutions, and system enhancements. The role offers opportunities for international collaboration and contributes to the company's success through cross-functional initiatives. Boehringer Ingelheim supports employees with a healthy working environment, meaningful work, networking, and work-life balance, reflected in competitive compensation and benefits.

Requirements

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.
Major required in: Computer Science, Data Science, Artificial Intelligence, Computer Engineering, or related technical discipline.
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 required).
Must be 18 years of age or older.

Nice To Haves

Overall cumulative minimum GPA of 3.0 (on a 4.0 scale) preferred.
Minor preferred in: Pharmaceutical Sciences, Life Sciences, Biology, Chemistry, or related scientific field.
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.

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.