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.