Regulatory Digital Transformation & Data Co-Op

Bayer•Indiana Township, PA

9d•$23 - $43•Onsite

About The Position

We are seeking a highly motivated Data Science, Data Engineering, Computer Science, or Information Systems student to partner with our Medical Device Regulatory Affairs organization. This role will focus on mapping, analyzing, and improving the interconnectedness of regulatory databases, document repositories, workflows, and digital tools used across the product lifecycle; the successful candidate will help identify opportunities to reduce manual work, improve data accessibility, increase regulatory process efficiency, and support the development of a connected regulatory information ecosystem; this is an excellent opportunity for a student interested in applying data science and digital transformation principles within a highly regulated healthcare and medical technology environment.

Requirements

Currently enrolled in a Bachelor's or Master's program in Data Science, Computer Science, Information Systems, Data Engineering, Engineering, Business Data Analytics, Bioinformatics, or a related discipline
Coursework or hands‑on experience in data modeling, database design, process mining, systems architecture, or business process analysis
Experience with SQL and Python for data analysis and manipulation
Proficiency with data visualization tools such as Power BI or Tableau and strong Microsoft 365 skills
Strong analytical and problem‑solving skills with the ability to work independently and manage multiple priorities
Excellent communication and presentation skills, including experience interviewing stakeholders and presenting findings
Demonstrated interest in or familiarity with healthcare, life sciences, or medical device industries and regulatory, quality, or clinical systems.

Nice To Haves

Minimum GPA of 3.0
Experience with data integration platforms or ETL tools, and familiarity with building or supporting data dictionaries and governance artifacts
Prior internship or project experience applying AI, automation, or analytics to process improvement
Practical exposure to workflow automation, Copilot/knowledge management integrations, or dashboarding for cross‑functional stakeholders.

Responsibilities

Inventory and document regulatory databases, repositories, dashboards, and software tools used across the Regulatory Affairs organization
Create current‑state process maps that illustrate how information flows between systems and identify duplicate data entry, disconnected workflows, and manual handoffs
Interview stakeholders across Regulatory Affairs, Quality, Clinical, R&D, and Operations to capture business processes, data needs, and pain points
Analyze relationships between systems, data sources, and business processes to evaluate opportunities for automation, integration, and simplification
Identify master data elements and support development of data dictionaries, system inventories, and governance recommendations
Develop visualizations and dashboards that communicate system dependencies and highlight improvement opportunities
Support pilot projects involving AI, automation, analytics, Copilot/knowledge management integrations, or workflow optimization, and assist in preparing business cases for system enhancements
Perform additional tasks that advance the development of a connected regulatory information ecosystem and reduce manual work across the product lifecycle.