2027 Summer Intern PhD Student - Drug Product Development Engineering
About The Position
Bristol Myers Squibb is seeking PhD students for a summer internship focused on Drug Product Development Engineering. This role involves working with colleagues across the pharmaceutical development process to develop novel formulations, processes, and medical devices. The ideal candidate will be a team player with strong operational, interpersonal, project management, and collaborative skills, appreciating the challenges of scientific discovery in an emerging field. The summer intern program provides valuable industry and functional experience, challenging assignments, and learning opportunities about BMS and its diverse representatives.
Requirements
- Currently enrolled in an accredited university program seeking a PhD degree in engineering, materials science, computational sciences, or a related quantitative discipline.
- Must still be enrolled during Summer 2027.
- Expected to graduate between Fall 2027 and 2028.
- Must include GPA on resume for consideration (program requires GPA of 3.0 or greater).
- Summary of current research, not exceeding two pages, must be included.
- Must be authorized to work in the US both at the time of hire and for the duration of their employment.
- Strong oral/written communication skills, with the ability to present technical information to both scientific and non-technical audiences.
- Ability to work effectively in a collaborative, multidisciplinary team environment.
- Ability to solve problems independently with minimal supervision.
- Demonstrated experience in computational modeling (e.g., fluid dynamics, discrete element modeling, or similar techniques) and/or data science, including machine learning (ML) and artificial intelligence (AI) applied to large datasets, for engineering or pharmaceutical challenges.
Nice To Haves
- Experience in one or more programming languages such as Python, MATLAB, R, or similar, with an emphasis on data analysis and modeling.
- Experience developing and/or implementing test methods to produce data inputs for computational modeling.
- Knowledge of drug product development processes, pharmaceutical unit operations (parenteral or oral solid dosage forms), and/or medical devices.
Responsibilities
- Design and implement computational models that analyze the effects of process variables and material properties on product attributes.
- Apply machine learning and artificial intelligence techniques to large datasets to drive insights and mitigate product-related risks.
- Develop and test predictive models of key pharmaceutical unit operations for oral solid and parenteral dosage forms, including drug delivery devices.
- Collaborate with formulation, process development, and device engineering teams.
- Present results to a diverse audience at internal forums.
Benefits
- Hourly rate of $45/hour
- Limited benefits depending on program structure, work location, and local requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
