Scientist 3 – Translational Medicine, Oncology

Genentech • Daly City, CA

2d • $120,700 - $224,100

About The Position

Genentech’s Translational Medicine organization aims to transform patient care through innovative, rigorous translational science that supports new medicines, accelerates drug development, and identifies new therapeutic strategies. The organization develops biomarker and diagnostic strategies across clinical development and conducts disease-oriented translational research.

Genentech is seeking a dedicated and independent Scientist 3 to lead laboratory-based translational research and discovery in lung and gastrointestinal cancers. The position is hands-on and involves close collaboration across Research & Early Development, including Research Oncology, Computational Sciences, and Translational Genomics and Proteomics. The scientist will design and conduct research, interpret experimental and computational findings, investigate treatment mechanisms and resistance, and develop assays and collaborations that support translational innovation.

The expected salary range for this position, based on the primary location of California, is $120,700–$224,100. Actual pay depends 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. The posting states that the position qualifies for benefits detailed at a provided link. Relocation benefits are not available.

Requirements

• Ph.D. in Cancer Biology, Cell Biology, Immunology, or a related discipline; candidates with a BA/BS and 6+ additional years of related experience or an MS and 4+ additional years of related experience will also be considered.
• Deep understanding of cancer biology, cancer immunology, and mechanisms of action and resistance to immunotherapies and/or targeted therapies.
• Ability to independently lead hands-on, laboratory-based research and develop, optimize, and apply fit-for-purpose experimental assays using relevant preclinical models and human samples.
• Multidisciplinary expertise in complementary approaches, such as primary immune and/or tumor-cell isolation and culture, immune-cell functional and tumor-killing assays, target-engagement and pharmacodynamic biomarker assays, multiparameter flow cytometry, and 2D/3D tumor-microenvironment models, including ex vivo and in vivo approaches where appropriate.
• Rigorous and creative approach to experimental design and problem-solving.
• Highly organized, detail-oriented, and adaptable in a fast-paced, collaborative environment.
• Excellent written and verbal communication skills.

Nice To Haves

• Understanding of lung and gastrointestinal cancer disease biology, tumor–immune interactions, and key oncogenic signaling pathways.
• Strong interest in and experience applying emerging translational technologies, such as single-cell and multi-omic profiling, spatial approaches, advanced functional assays, and other novel platforms, to mechanistic and biomarker questions.
• Proficiency analyzing high-throughput data, such as multi-omics, single-cell, and spatial transcriptomics datasets.

Responsibilities

• Design and execute experiments to validate biological and therapeutic hypotheses derived from non-clinical, clinical, and real-world data.
• Synthesize, analyze, and interpret experimental and computational data in collaboration with experts from other functions.
• Investigate mechanisms of action and therapeutic resistance to tumor-microenvironment and tumor-targeted therapies, including next-generation checkpoint inhibitors and antibody-drug conjugates, to guide patient selection, pharmacodynamic biomarker assessment, combination treatment strategies, and identification of next-generation targets.
• Identify, evaluate, and validate innovative cell-based, biochemical, and multi-omic assays, including single-cell and functional genomics technologies, to enable scalable hypothesis testing.
• Proactively establish internal and external collaborations to access emerging technologies, datasets, and analytical methods that advance translational research.

Benefits

• A discretionary annual bonus may be available based on individual and company performance.
• The position qualifies for benefits detailed at a provided link.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree