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, 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. 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. 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. Please note that immigration or visa sponsorship is not available for this position now or in the future.