Job Title

The ideal candidate will: Conduct in-depth, statistically rigorous analyses of diverse NGS datasets (bulk and scRNA-seq) to produce meaningful biological insights. Utilize Genentech's computational pipelines for end-to-end analysis of both established and new high-throughput assays. Work with cross-departmental teams including both experimental and computational biologists.Required Skills and Experience: PhD in bioinformatics, genomics, or computational biology Good communication skills, including in data visualization, and a strong interest in exploring biological questions. Experience analyzing high-throughput data (bulk and scRNA-seq). High-level proficiency in R programming language and Bioconductor packages. Strong understanding of experimental design. Strong computational and analytical skills. Experience working in Linux-based server environments. Good data science practices and understanding of statistics and data complexity.A plus, but not essential: Experience in analyzing and working with CRISPR screens and ChIP-seq/ATAC-seq. Familiarity with public genomic databases (ENCODE, TCGA, GEO, ArrayExpress). Familiarity with or interest in immunology.