Genentech’s Department of Cell and Tissue Genomics - Oncology is seeking a creative and motivated Scientist 3 to generate, analyze, and interpret data from multimodal single-cell datasets and high-content screens to discover/prioritize oncology targets. The successful candidate will leverage large-scale single-cell genomics data to study cancer cell states in disease and therapy response, lead hypothesis generation efforts and test these experimentally in close collaboration with other members of the department. Strong expertise with multimodal single-cell data analysis is required. Experience with chromatin profiling (e.g. ChIP-seq, CUT&RUN, CUT&TAG) is a plus. This is a mixed computational/ wet-lab position involving collaboration with interdisciplinary teams including oncology, translational medicine, NGS, epigenetics, bioinformatics, and AI/ML. 

The Opportunity

Analyze and interpret multimodal single-cell genomics and epigenomics data from in vitro experiments, patient samples, and high-content screens to generate hypotheses on mechanisms of disease progression and response to therapy.

Collaborate with bioinformatics and AI/ML colleagues to develop predictive, interpretable mathematical/statistical/machine learning models for target discovery.

Work with experimental scientists to design and implement in vitro experiments to test 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

You have a PhD in computational biology, bioinformatics, cancer biology, biology, immunology, genomics, or a related discipline. Minimum of 5 years total academic and/or industry experience.

You have expertise in multimodal single-cell data analyses and interpretation.

Hands-on experience with cell culture, NGS library generation, or 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

Experience with chromatin profiling data generation and analysis is preferred.

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

#LI-KC2

​#LI-Onsite

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.