Intern - CMC Development

Summary: USWM, LLC is a company involved in pharmaceutical manufacturing and analytical sciences. They are seeking an Intern in CMC Development to provide technical and operational support, assist with CMC-related investigations, and collaborate with cross-functional partners. Responsibilities: - Provide general technical and operational support to Product Development, Strategic Operations, MSAT and ASAT activities under the guidance of CMC teammates, including data compilation, basic analysis, and document preparation - Assist with CMC‑related investigations, assessments, or improvement initiatives by organizing background information, reviewing historical data, and summarizing findings - Support preparation, review, and maintenance of CMC technical documentation, presentations, and reports in accordance with internal quality and data integrity expectations - Act as the CMC point‑of‑contact to a centralized AI intern group by receiving defined CMC tasks, questions, or pilot concepts and communicating required context, inputs, and success criteria - Coordinate and participate in beta testing of AI‑enabled tools or workflows relevant to MSAT, ASAT, or broader CMC activities - Collect, organize, and summarize results from AI pilot activities and report outcomes, limitations, and recommendations back to CMC stakeholders - Track assigned tasks, timelines, and deliverables; communicate progress and issues to supervising CMC staff - Collaborate with cross‑functional partners as needed while maintaining appropriate confidentiality and data handling practices Required Qualifications: - Currently enrolled as an undergraduate student pursuing a bachelor's degree in engineering, chemistry, biology or a closely related engineering or scientific discipline - Fundamental understanding of scientific principles, data analysis, and scientific documentation - Proficiency with common productivity and data tools (e.g., Microsoft Office applications); ability to learn new digital or analytical tools quickly - Strong written and verbal communication skills with the ability to summarize technical information clearly - Demonstrated organizational skills and ability to manage multiple assignments in a structured manner - Interest in pharmaceutical manufacturing, analytical sciences, and the application of AI or digital tools in scientific workflows Required Skills: Scientific principles, Data analysis, Scientific documentation, Microsoft Office