2026 Future Talent Program - Data Rich Experimentation - Co-Op

Job Description

The Future Talent Program features Cooperative (Co-op) education that lasts up to 6 months and will include one or more projects. These opportunities in our Research Division can provide you with great development and a chance to see if we are the right company for your long-term goals.

We are seeking a co-op to join our Data Rich Experimentation (DRE) organization within Process Research & Developing Enabling Technologies (PR&D ET) located in either Rahway, NJ or West Point, PA.

Primary Responsibilities:

In this role, the chosen candidate will work with a team of scientists tasked with identifying, developing, and deploying data-rich technologies aimed at improving the manner in which process understanding is gathered. The tools that we develop are as diverse as the team developing them, and in this co-op role, the chosen candidate will leverage data-dense scientific approaches to enable our process research and development efforts across our Company's small molecule, biologics, and vaccines portfolio.

Our DRE organization is responsible for the invention and application of new data-rich and digital tools to support the scientists across process research and development at our Company. We aspire to embed data-intensive technologies into the fabric of our Company's process development culture. This co-op role is a scientific position tasked with helping solve complex process research and development challenges in an interdisciplinary, collaborative environment via invention, development, and application of cutting-edge tools. Our current areas of interest include high-throughput experimentation, bench-top automation, process modeling and simulation, kinetics and mechanism elucidation, process analytical technologies (PAT), machine learning and data science, digital tools, catalyst and ligand screening, and other process enabling technologies. Ultimately, using data-rich and digitally-fluent methodologies, we aim to elucidate a deeper understanding of our processes across diverse medicines and vaccines.

In addition to a passion for data-rich experimentation, the chosen candidate should have excellent interpersonal, communication, and collaboration skills. The chosen candidate should embrace and model our core values of diversity and inclusion, including fostering a supportive culture where all can thrive. The chosen candidate should be able to effectively collaborate in a dynamic, integrated, and multidisciplinary team environment.

The chosen candidate should demonstrate a clear ability to learn and perform scientific research in a team-oriented manner that builds trusted partnerships across vast stakeholder networks. The chosen candidate should have willingness to learn how to publish and present research, including interacting with the broader academic community. The chosen candidate will join a diverse group of scientific problem solvers who are dedicated to creating the life-changing medicines and vaccines of tomorrow.

Education Minimum Requirement:

• Must be currently enrolled in a BS, MS, or PhD program in Chemistry, Biochemistry, Engineering, Data Science, Computer Science, Mathematics, Physics, Biology, Pharmaceutical Sciences, or a closely-related field and will be returning to school after completion of the co-op.

• Must be authorized to work in the United States

• Must have availability to complete a 4-6 month full-time co-op experience at our Company (start dates are flexible).

Required Experience and Skills:

• Candidate must be a highly-motivated and technology-centric scientist.

• Candidate must be passionate about modernizing our Company's process development practices across biologics, vaccines, and small molecule modalities.

• Candidate must have the ability to work collaboratively in a multidisciplinary team environment.

• Candidate must have the ability to learn new skills and technologies under compressed timelines.

• Candidate must have the ability to work in a team environment with cross-functional interactions.

Preferred Experience and Skills:

• Candidate should be motivated to learn new skills, willingness to take on new challenges, and scientific curiosity.

• Candidate should have experience demonstrating scientific ability through publications and presentations in scientific conferences.

• Candidate should have excellent communication skills, demonstrated creativity, and effective interpersonal skills.

• Candidate should have the ability to deliver complex solutions in a dynamic environment.

• Candidate should have collaborative research efforts that are praised by the broader scientific community