Scientist 3 - Translational Medicine, Oncology

About the role

The Position Genentech's Translational Medicine Oncology (TM ONC) Department supports the entire R&D portfolio of novel therapies. We develop and implement biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success.

Responsibilities

• Drive Hypothesis Validation: Design and execute laboratory experiments to validate biological and therapeutic hypotheses derived from non-clinical, clinical, and real-world data.
• Analyze High-Dimensional Data: Synthesize, analyze, and interpret experimental and computational data in close collaboration with functional domain experts.
• Decipher Disease Mechanisms: Investigate the molecular mechanisms underlying disease progression, therapeutic response, and acquired resistance to targeted therapies (e.g., RAS inhibitors) to inform patient selection, pharmacodynamic biomarker assessment, and combination treatment strategies.
• Innovate Assay Platforms: Identify, evaluate, and validate innovative cell-based, biochemical, and multi-omic assays, including single-cell and functional genomics technologies, to enable scalable hypothesis testing.
• Build Strategic Partnerships: Proactively establish strategic research collaborations to access emerging technologies, datasets, and analytical methods that fuel translational innovation.
• Collaborate for Impact: Partner seamlessly across multi-disciplinary teams to translate scientific insights into meaningful therapeutic opportunities for patients.

Qualifications

• Ph.D. in Cancer Biology, Cell Biology, Molecular Biology, Genetics & Genomics, or a related discipline (or a Bachelor's degree with 6+ years / Master's degree with 4+ years of relevant research experience).
• Deep understanding of cancer biology, mechanisms of action and resistance to targeted therapies, and oncogenic signaling pathways (e.g., RAS/MAPK), alongside foundational knowledge of cancer immunology and the tumor microenvironment.
• Demonstrated ability to independently lead laboratory research using methods such as genome editing, genetic/chemical perturbation screening, cell-based/biochemical assays, cell culture and organoid models, flow cytometry, spatial omics, or single-cell technologies.
• Prominent track record: Demonstrated scientific contributions through peer-reviewed publications, patents, or impactful research accomplishments.

Preferred

• Data Analysis Skills: Familiarity or proficiency with the computational analysis of high-throughput data (such as multi-omics, single-cell, or spatial transcriptomics datasets).

Benefits

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.

Details of Benefits

Global Grade - SE6

Relocation benefits are not available for this posting.

Expected Salary Range: $100,400 - $186,400 (based on primary location of California)