Translational Medicine Scientist - Tumor Microenvironment

Roche; South San Francisco (CA); Presencial; USD 142.000 - 263.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Discretionary annual bonus

Onsite presence on SSF campus

Descripción de la vacante

Genentech, a Roche company, is seeking a Principal Scientist in Translational Medicine Oncology to design, develop, and implement pharmacodynamic and biomarker strategies across oncology trials. This role emphasizes hypothesis-driven translational research, cross-functional collaboration, and leadership in biomarker assay development.

You will contribute to mechanistic insights into tumor biology, work with diverse teams, and drive data-driven decision making.

Formación

• PhD or MD/PhD in a relevant field with strong postdoctoral training.
• First-author publications in peer-reviewed journals preferred.
• 3–5 years translational research experience with molecular profiling, multi-omics, and/or single-cell technologies.

Responsabilidades

• Develop biomarker strategies for oncology from early to registrational trials.
• Collaborate cross-functionally to align translational objectives and data-driven decisions.
• Design translational research plans leveraging clinical samples and multi-omic data.
• Publish impactful biomarker research and represent Genentech at conferences.
• Lead hypothesis-driven translational work bridging discovery and clinical development.

Conocimientos

Computational analysis

Single-cell tech

Multi-omics

Biomarker discovery

Team collaboration

Educación

PhD in molecular biology, cancer biology, immunology, computational biology, or related field

Herramientas

R

Python

Descripción del empleo

Genentech, a Roche company, is seeking a Principal Scientist in Translational Medicine Oncology to design, develop, and implement pharmacodynamic and biomarker strategies across oncology trials. This role emphasizes hypothesis-driven translational research, cross-functional collaboration, and leadership in biomarker assay development.

You will contribute to mechanistic insights into tumor biology, work with diverse teams, and drive data-driven decision making.