2025 Summer Intern Engineering/Computational Scientist for Drug Product Development PhD Student Only

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

This intern position is within the Drug Product Development (DPD) department in New Brunswick, NJ. DPD develops novel formulation, processes, and medical devices to enable drug products at clinical and commercial stages. This role offers a unique opportunity to leverage state-of-the-art predictive modeling and data science techniques to advance the science of drug development, contributing directly to improving patient lives. You will collaborate with multidisciplinary teams, using data analytics, AI/ML models, and computational techniques to drive insights and innovation across therapeutic areas.

We are looking for candidates who are highly motivated and self-driven, have demonstrated innovative problem-solving ability and the ability to work independently as well as in a team environment. We are asking for experience in one or more of: computational modeling (e.g., fluid dynamics, discrete element modeling, or other similar techniques), machine learning (ML) and artificial intelligence (AI) applied to large datasets, pharmaceutical unit operations for parenteral or oral solid dosage forms, or medical device applications.

Summer interns will work with mentors for ~10 weeks on a guided research project within a PD Project Team. The program is organized to ensure that interns gain valuable industry and functional experience, work on challenging assignments, learn about BMS and meet diverse company representatives.

The program will feature:

• An orientation, including an overview of company structure, products and brands

• An introduction to the GPS and PD organizations

• Exposure to senior management and business leaders

• Formal presentation at the end of your internship

• Regular discussion of project progress with multiple mentors

• Formal review and feedback sessions

Program Dates: Monday, June 2, 2025 – Friday, August 8, 2025

Location: New Brunswick, NJ

Please Note: Interns that will be in-person and reside more than 50 miles away from the work location are eligible for a travel or housing stipend.

Key Responsibilities
 

The intern will have the opportunity to contribute to one or more of the following areas, depending on their experience and interests:

• Contribute to drug product development projects by designing and implementing computational models that analyze the effects of process variables and material properties on product attributes.

• Apply machine learning (ML) and artificial intelligence (AI) techniques to large datasets, driving insights for decision-making and mitigating product-related risks.

• Develop and test predictive models that enhance our understanding of key pharmaceutical unit operations for both oral solid and parenteral dosage forms.

• Collaborate with formulation, process development, and device engineering teams to improve product performance through data-driven insights.

• Communicate and present results at internal forums. Present scientific results to a diverse audience through data analysis and visualizations.

Qualifications & Experience

• Candidates must be currently enrolled in an accredited university program seeking a Ph.D. in engineering, materials science, computational sciences, or a related quantitative discipline. Student must be enrolled during 2025 Summer.

• Must include GPA on resume (program requires GPA of 3.0 or greater) and a summary of their current research, not exceeding two pages, for consideration.

• Demonstrated experience in computation