The Position
Genentech’s Department of Cell and Tissue Genomics - Oncology is seeking a motivated Scientist 3 to generate and analyze data from multimodal single-cell datasets and high-content screens to discover/prioritize targets in breast cancer. The successful candidate will leverage large-scale single-cell genomics data to study tumor cells and the tumor microenvironment in disease and therapy response, generate hypotheses about breast tumor biology/mechanisms of resistance, and test these experimentally in close collaboration with other members of the department. Strong expertise with generation and analysis of multimodal single-cell data from patient samples is required. Expertise in breast cancer biology, single-cell technology development, and/or spatial transcriptomics is a plus. This is a mixed computational/ wet-lab position involving collaboration with interdisciplinary teams including oncology, translational medicine, pathology/spatial-omics, NGS, epigenetics, bioinformatics, and AI/ML.
The Opportunity
- Generate, analyze and interpret multimodal single-cell genomics and epigenomics data from patient samples to generate hypotheses on mechanisms of breast cancer progression and response to therapy.
- Work with experimental scientists to design and implement in vitro experiments or high-content screens to test/prioritize hypotheses in relevant disease systems.
- Effectively collaborate with cross-functional teams both within the department and across Genentech.
- Share research through scientific publications, national and international conferences, and internal presentations.
- Contribute to lab organization and culture while helping to identify new research opportunities.
Who You Are
- PhD in cancer biology, genetics, computational biology, bioinformatics, biology, immunology, genomics, or a related discipline. Minimum of 5 years total academic and/or industry experience is required.
- Expertise in multimodal single-cell data analyses and interpretation is required.
- Experience with single-cell ATAC-seq data generation and analysis is required.
- Hands-on experience with cell culture, NGS library generation, and tissue processing for single-cell assays is required.
- Ability to manage multiple projects in parallel and collaborate with multidisciplinary teams.
- Excellent communication, organizational, and collaboration skills along with demonstrated problem-solving abilities.
- Rigorous mindset, creativity and passion for problem-solving.
Preferred
- Expertise in breast cancer biology, single-cell technology development, and/or spatial transcriptomics is a plus.
Relocation benefits are available for this job posting.
The expected salary range for this position based on the primary location of California is $100,200 to 186,000. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits
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Genentech is an equal opportunity employer, and we embrace the increasingly diverse world around us. Genentech prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin or ancestry, age, disability, marital status and veteran status.