Single-cell transcriptomics is reshaping how we study disease, offering insights at the cellular level that bulk methods often miss. In fields like cancer immunotherapy, it helps uncover rare cell populations that drive treatment response or resistance. Extracting meaningful therapeutic insights from this data demands both biological understanding and computational skill.
This 12-week expert-led bootcamp is designed to meet that challenge. You’ll learn to analyze single-cell data, integrate drug-target databases, and build end-to-end workflows for real-world target discovery.
Led by Dr. Benjamin Yuen, a seasoned biotech professional with experience at Verily (an Alphabet company), the course follows industry-standard tools and practices used in top research and pharma settings.
You’ll gain hands-on experience building reproducible, production-ready pipelines using Docker, Bash, R, and Seurat, all within an industry-style environment focused on drug discovery.
