Principal Translational Scientist & Team Leader, Oncology Biomarkers & Translational Research

Key Responsibilities

• Define the long-term translational research priorities and strategic roadmaps for the group, ensuring alignment with Genentech’s broader oncology R&D portfolio.
• Directly manage, mentor, and develop a high-performing team of translational research scientists, fostering a collaborative culture that bridges wet-lab biology and data science.
• Co-design and oversee translational research strategies that address key biological and clinical questions across oncology programs.
• Leverage large-scale patient cohorts, clinical trial biospecimens, and multimodal datasets to generate molecule-specific, mechanism-specific, and disease-specific insights.
• Identify novel disease states, resistance mechanisms, biomarkers, and patient populations that may inform future oncology treatments.
• Evaluate, champion, and integrate emerging profiling technologies, including genomic, spatial, proteomic, liquid biopsy, single-cell, multimodal, and AI-enabled approaches.
• Guide tumor profiling and assay selection for correlative studies, balancing scientific objectives, sample constraints, technical feasibility, and clinical development needs.
• Lead fit-for-purpose biomarker study design, including cohort selection, assay strategy, benchmarking, quality control, analytical workflows, and data interpretation.
• Partner with biologists, laboratory scientists, computational biologists, statisticians, and AI/ML scientists to integrate data and translate findings into actionable hypotheses.
• Communicate scientific insights and strategic recommendations to multidisciplinary teams, clinical teams, and senior stakeholders.

Who You Are

• PhD in Cancer Biology, Molecular Biology, Immunology, Genomics, Bioinformatics, Computational Biology, or a related discipline.
• Postdoctoral training and 3+ years of relevant industry or academic experience in translational oncology research, or 7+ years of relevant experience in industry or academia, with a proven track record of successfully leading complex translational research programs.
• Strong understanding of current and emerging tumor profiling technologies, including genomic, spatial, proteomic, liquid biopsy, single-cell, or multimodal approaches.
• Demonstrated experience with translational study design, including assay selection, technical benchmarking, quality control, analytical workflows, and biological interpretation.
• Ability to work effectively across multidisciplinary teams spanning biology, clinical development, laboratory sciences, computational biology, statistics, and AI/ML.
• Proven ability to guide, influence, and collaborate effectively across multidisciplinary teams spanning biology, clinical development, laboratory sciences, computational biology, statistics, and AI/ML.
• Deep expertise in at least one oncology therapeutic area, such as breast, lung, colorectal, prostate, or hematologic malignancies.