Summary
Sarah Song is a Research Bioinformatician II with 9 years of experience specializing in RNA-seq, single-cell and spatial transcriptomics, and NGS pipeline automation. Based in Los Angeles, she has driven analysis for 20+ bulk and 10+ single-cell/spatial projects at Cedars-Sinai, combining hands-on QC, integration, trajectory and pathway analyses with tools like Seurat, Scanpy, Monocle and clusterProfiler. She’s proficient in R/Bioconductor, Python, Bash and workflow tooling (Nextflow, Conda, Git) and has a track record of cutting manual setup time through PHP-driven script generation and pipeline optimizations. A former MSc researcher, she also built de novo transcriptome assemblies and phylogenetic comparative analyses, bringing both computational rigor and wet-lab fluency to cross-disciplinary teams.
9 years of coding experience
1 year of employment as a software developer
Master of Science - MS Biology Evolutionary Biology Bioinformatics , Master of Science - MS Biology Evolutionary Biology Bioinformatics at McMaster University
Hakka, French, Chinese, Chinese, English