Developed an R-based setup script for single-cell RNA-seq analysis workflows in the childhealthbiostatscore/CHCO-Code repository, focusing on reproducibility and efficient onboarding. The script automated library imports, integrated AWS S3 data retrieval, and established initial data processing steps, providing a standardized scaffold for downstream bioinformatics analyses. By leveraging R programming and AWS, the work enabled data scientists to quickly initialize and hand off scRNA-seq projects, reducing setup time and minimizing manual errors. No major bugs were reported during the development period, reflecting a focused and stable implementation that lays the foundation for extended preprocessing and future analytical pipeline enhancements.