Scientist 3, Translational Medicine

About the Role

Genentech's Translational Medicine (TM) OMNI team supports the R&D portfolio across Ophthalmology, Metabolism, Neuroscience, Immunology, and Infectious Diseases. The team develops and implements translational research and biomarker strategies to identify disease pathways, validate mechanisms of action, and accelerate clinical trial success. Scientists in this department leverage clinical insights to drive target identification and champion end-to-end biomarker execution.

We are seeking a Scientist 3 to join the Translational Medicine (TM) team on-site at our South San Francisco campus. In this role, you will partner with R&D teams to drive translational research for therapeutic targets and provide biomarker support for glaucoma neuroprotection programs. This position requires a blend of computational skills to interpret high-dimensional datasets and bench-level expertise to design and execute validation experiments.

Key Responsibilities

• Analyze high-dimensional datasets (e.g., proteomics, transcriptomics) from clinical and preclinical samples to discover novel therapeutic targets and candidate biomarkers.
• Design and execute experiments using disease-relevant in vitro human cell models to translate data-driven insights into functional biology.
• Lead and coordinate exploratory clinical studies with internal and external collaborators to advance translational research and discover clinical biomarkers.
• Collaborate with R&D partners, including Research Biology, Computational Sciences, Tissue Genomics & Proteomics, Biostatistics, Clinical Pharmacology, and Bioanalytical Sciences.
• Develop and qualify custom assays (e.g., Simoa, NULISA) for biomarkers of interest.
• Communicate insights through high-quality reports, presentations, and peer-reviewed publications.

Requirements & Tech Stack

• Expertise in executing both wet-lab experiments and bioinformatic analyses.
• Deep technical wet-lab expertise in preclinical/clinical sample analysis and molecular biology techniques, including cell culture, ELISA, qPCR, and NGS/transcriptomics.
• Computational proficiency with hands-on experience programming in R or Python for biostatistical and bioinformatics methods on high-dimensional datasets.

Qualifications

• PhD in Biological Sciences (including neuroscience, immunology, cell biology, or a related field) with 0–4 years of relevant post-graduate experience.
• Exceptional candidates without a PhD but with an equivalent track record of rigorous scientific experience are also encouraged to apply.
• While clinical or translational experience in retinal biology is preferred, it is not required.
• Demonstrated scientific independence, outstanding organizational and teamwork skills, scientific curiosity, and exceptional communication abilities.
• A clear passion for translating science into life-changing therapies.