Bioinformatics Associate III
One DNA Way South San Francisco, CA 94080
Our client is a leading biotechnology company that discovers, develops, manufactures and commercializes medicines to treat patients with serious or life-threatening medical conditions. They are among the world' s leading biotech companies, with multiple products on the market and a promising development pipeline.
- The Department of Bioinformatics and Computational Biology at Genentech is seeking a highly motivated full-time computational biologist contractor to work with our team. The primary focus of this contractor position will be on the analysis and interpretation of high-throughput genomic and clinical data, to further our understanding of the interactions between the immune and stromal components of the tumor microenvironment as they relate to cancer immunotherapy. (A basic understanding of cancer or immune biology is a plus for this position, but is not a requirement.) A successful computational biologist contractor will be expected to:
- Analyze and interpret high-throughput molecular data (RNA-Seq, single-cell transcriptomics, etc) in the context of biological problems, in close collaboration with an interdisciplinary team of bench and computational scientists.
- Integrate high-throughput molecular data with clinical outcome data to inform research programs Contribute to publications in high-quality scientific, technical, and medical journals (and receive publication credit for these contributions) Create interactive visualization and analysis tools to enhance collaboration with bench scientists (preferred, but not required)
- High level of proficiency with R programming language and/or other scripting languages (Python, perl, etc.) Experience in the analysis, visualization, and interpretation of high-throughput data in collaboration with bench scientists and/or clinical scientists Experience with one or more high-throughput biological assays such as RNA-seq, exome-seq, ChIP-seq and ATAC-seq is a plus, but not required Outstanding communication, collaboration, and problem solving skills
- Masters or Ph.D. in a relevant field (such as computational biology, systems biology, bioinformatics, genomics, statistics, computer science, cancer biology, etc.); or bachelor's degree in a life science field with at least three years of experience working in a quantitative biosciences position