2026 Future Talent Program - Global Science, Engineering and Commercialization Co-Op

Role Summary

The Future Talent Program features Cooperative (Co-op) education opportunities that last up to 6 months and will include one or more projects in our Manufacturing Division. This co-op will provide opportunities to develop technically and professionally, offering global technical support to vaccine and biologics manufacturing areas and collaboration with scientists and engineers in late stage process development, commercialization, tech transfer and expansion.

Responsibilities

• Bring chemically or biologically derived research and discoveries to production by applying engineering, chemistry, and pharmaceutics skills to characterize and scale-up bench or pilot-scale processes.
• Develop, optimize, and implement innovative manufacturing technologies and analytical methods.
• Use process modeling combined with statistical, data analytics, and data science tools to analyze and identify insights from process information.
• Support process technology development and transfer to commercial operation groups.
• Collaborate with operations and quality groups on the execution of strategic projects to ensure a high level of process performance and enhance World Class Supply for commercial products.
• Examine an issue from diverse perspectives (safety, compliance, automation, equipment, process, and people) to best understand and resolve the root cause.
• Support the transfer of products within the Company‚Äôs internal and external manufacturing network and ensure proper knowledge management.
• Contribute to a culture of high performance, out of the box thinking, innovation and learning, empowerment, diversity and inclusion.
• Designing and executing process development and characterization studies.
• Authoring technical protocols for studies, including ensuring appropriate design of experiments (DoE), sample size selection, and acceptance criteria.
• Managing sample submission and tracking; employing statistical tools to analyze results.
• Authoring technical reports for regulatory filings and participating in development and commercial teams.
• Presenting study results and conclusions at team and department meetings; ensuring technical information is clearly understood and integrated into decision making.
• Supporting computational modeling work and regulatory submissions.
• Working as a team member on manufacturing investigations, validation activities and process improvement projects.

Qualifications

• Currently pursuing a bachelor‚Äôs or master‚Äôs degree in engineering, science, or related disciplines. No prior experience is required.
• Superior technical competency demonstrated by excellent academic record and work achievement.
• Strong communication skills, personal character, and ethics.
• Preferred: demonstrated skills in computer programming and/or data science & data analytics; ability to work independently and in teams; problem-solving, collaboration, project management, and strong written and oral communication skills.

Education

• Currently pursuing a bachelor‚Äôs or master‚Äôs degree in engineering, science, or related disciplines.

Skills

• Data analysis, Python programming, statistics, design of experiments (DoE), process modeling, data visualization, project management, technical writing, regulatory documentation.