Regulatory Digital Transformation & Data Co-Op

Bayer
Location
Indianola, Pennsylvania, United States
Job Type
Full-time
Posted
November 4, 2026

Job Description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re 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 you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s 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 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.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications

  • 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.

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;

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re 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 you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s 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 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.

WHO YOU ARE

Bayer seeks an incumbent who possesses the following:

Required Qualifications

  • 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.

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 cross‑functional 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 applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.

YOUR APPLICATION

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.

To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans

Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.

Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.

Bayer is an E-Verify Employer.

Location

United States : Pennsylvania : Indianola || United States : Residence Based : Residence Based

Division

Pharmaceuticals

Reference Code

878101

Contact Us

Email

hrop_usa@bayer.com

Frequently Asked Questions

Where is this job located, and is remote work available?
The job is based in Indianola, Pennsylvania, United States. The posting also notes a "Residence Based" option, indicating a remote or work-from-home policy.
What qualifications are required for this co-op?
Applicants must be enrolled in a relevant Bachelor's or Master's program (e.g., Data Science, Computer Science, Information Systems). Requirements include experience with SQL, Python, Power BI or Tableau, Microsoft 365, coursework in data modeling/systems architecture, strong analytical/communication skills, and a demonstrated interest in healthcare, life sciences, or medical device industries.
What are the main responsibilities of this role?
Key tasks include inventorying regulatory databases and tools, creating current-state process maps, interviewing stakeholders, analyzing data relationships to spot automation opportunities, supporting data dictionaries/governance, developing visualizations/dashboards, and assisting with pilot projects involving AI, automation, or analytics to improve regulatory process efficiency.
What is the expected compensation for this position?
The estimated hourly salary ranges from $22.75 to $43.25, depending on location, market data, skills, experience, and education. Additional compensation may include a bonus or commission.
What benefits does Bayer offer for this position?
Benefits include healthcare, vision, dental, retirement plans, paid time off (PTO), and sick leave.
How can applicants request disability accommodations during the application process?
Applicants needing reasonable accommodations for the application process can request assistance by contacting Bayer via email at hrop_usa@bayer.com.

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Job Information

Source: manual
AI Relevance: 90/100 (Highly relevant)
Remote Type: onsite
Skills & Tags:
bayer bioinformatics data engineering data science clinical
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