Data science and software engineering are increasingly critical in pharmaceutical research & development (R&D), enabling more efficient workflows, higher data quality, and improved communication of insights. Internal applications that streamline end-to-end data science processes—from data parsing and cleaning to visualization and reporting—can significantly reduce manual effort, improve reproducibility, and accelerate project delivery. Likewise, workflow management tools that track assignments, deadlines, and team capacity can optimize resource allocation and enhance collaboration. We are seeking passionate candidates to design and develop lightweight applications that support both scientific and operational needs, including visualization of complex clinical datasets, automated data validation frameworks, and scheduling tools for project management. By integrating automation and intuitive interfaces, these applications will help the team better investigate data, manage workloads, and communicate findings to technical and non-technical stakeholders alike. This internship will provide hands-on experience in full-stack software engineering with real-world datasets, offering opportunities to work on user interface design, backend development, data validation, and advanced visualization. The role offers a unique chance to contribute to the transformation of data science workflows in a clinical research setting, while gaining exposure to the intersection of software engineering and pharmaceutical R&D. As part of the Bristol Myers Squibb Intern Program, the intern will have an opportunity to gain understanding of the drug development process through interactions with matrix drug development teams, as well as networking opportunities with other interns/BMS colleagues. By developing applications that bridge software engineering and data science, this internship will enhance the team’s ability to manage projects, validate data, and extract insights, ultimately contributing to more efficient and reliable pharmaceutical research.