2026 Summer Intern PhD Student - Engineering/Computational Scientist for Drug Product Development

Bristol Myers Squibb • New Brunswick, NJ

71d • $43 • Hybrid

About The Position

This intern position is within the Drug Product Development (DPD) department. 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.

Requirements

• 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.
• Candidates are expected to graduate between Fall 2026 and end of 2027.
• 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 computational modeling and/or data science, applied to engineering or pharmaceutical challenges.
• Experience in one or more programming languages such as Python, MATLAB, R, or similar, with an emphasis on data analysis and modeling is preferred.
• Experience developing and/or implementing test methods to produce data inputs for computational modeling is preferred.
• Knowledge of drug product development processes and pharmaceutical unit operations and/or medical devices is preferred.
• Strong communication skills, with the ability to present technical information to both scientific and non-technical audiences.
• Ability to solve problems independently with minimal guidance.
• Must be able to work effectively in a collaborative, multidisciplinary team environment, demonstrating strong interpersonal and communication skills.
• All candidates must be authorized to work in the US both at the time of hire and for the duration of their employment.

Responsibilities

• 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, including drug delivery devices.
• 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.

Benefits

• Medical, pharmacy, dental and vision care.
• Wellbeing support such as the BMS Living Life Better program and employee assistance programs (EAP).
• Financial well-being resources and a 401(K).
• Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.
• Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year's holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.
• Parental, caregiver, bereavement, and military leave.
• Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources.
• Other perks like tuition reimbursement and a recognition program.

What This Job Offers

• Career Level: Intern
• Industry: Chemical Manufacturing
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees