Regulatory Digital Transformation & Data Co-Op

At Bayer were visionaries driven to solve the worlds toughest challenges and striving for a world where Health for all Hunger for none is no longer a dream but a real possibility. Were doing it with energy curiosity and sheer dedication always learning from unique perspectives of those around us expanding our thinking growing our capabilities and redefining impossible. There are so many reasons to join us. If youre hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference theres only one choice.

Regulatory Digital Transformation & Data Co-Op

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.

YOUR TASKS AND RESPONSIBILITIES

• Inventory and document regulatory databases repositories dashboards and software tools used across the Regulatory Affairs organization;
• Create currentstate 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.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications:

• Currently enrolled in a Bachelors or Masters program in Data Science Computer Science Information Systems Data Engineering Engineering Business Data Analytics Bioinformatics or a related discipline;
• Coursework or handson 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 problemsolving 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.

Preferred Qualifications:

• 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 crossfunctional stakeholders.

Employees can expect to be paid a salary of approximately between $22.75 to $43.25. Additional compensation may include a bonus or commission (if relevant). Additional benefits include health care vision dental retirement PTO sick leave etc.. This salary (or salary range) is merely an estimate and may vary based on an applicants location market data/ranges an applicants skills and prior relevant experience certain degrees and certifications and other relevant factors.