Regulatory Data & Automation Co-op

Bayer; Indianola (PA); On-site; USD 65,188,000 - 123,929,000; Full time

Benefits offered by this job

Health care

Vision

Dental

Retirement

PTO

Job summary

Bayer is seeking a Regulatory Digital Transformation & Data Co-Op in Pennsylvania to map, analyze, and improve regulatory data ecosystems across product lifecycles. You will partner with Regulatory Affairs to reduce manual work through automation and dashboards, applying data science in a highly regulated healthcare setting.

The role emphasizes stakeholder interviews, data dictionaries, and governance, with hands-on exposure to AI/automation pilots and cross-functional workflows.

Qualifications

• Currently enrolled in a Bachelor's or Master's program in a relevant field.
• 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 abilities; able to work independently and manage priorities.
• Excellent communication and presentation skills; experience interviewing stakeholders and presenting findings.

Responsibilities

• Inventory and document regulatory databases, repositories, dashboards, and software tools used across the Regulatory Affairs organization.
• Create current-state process maps showing information flow between systems and identify duplicates 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.

Skills

Data modeling

Database design

Process mining

Systems architecture

Business process analysis

SQL

Python

Analytical thinking

Communication skills

Education

Data Science / CS / IS

Tools

Power BI

Tableau

Microsoft 365

Job description

Bayer is seeking a Regulatory Digital Transformation & Data Co-Op in Pennsylvania to map, analyze, and improve regulatory data ecosystems across product lifecycles. You will partner with Regulatory Affairs to reduce manual work through automation and dashboards, applying data science in a highly regulated healthcare setting.

The role emphasizes stakeholder interviews, data dictionaries, and governance, with hands-on exposure to AI/automation pilots and cross-functional workflows.