Scientist 3 Translational Medicine

About the Role

Genentech's Translational Medicine OMNI (TM OMNI) Department supports the R&D portfolio in Ophthalmology, Metabolism, Neuroscience, and Immunology. The department develops and implements biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success. They also conduct foundational clinical translational research to study molecular and cellular pathways driving disease to generate novel target and biomarker approaches.

The Opportunity

We are seeking a talented and highly motivated Scientist 3 to join Genentech’s Translational Medicine (TM) team on-site at our South San Francisco campus. The candidate will collaborate with scientists across R&D to provide biomarker support for cardiovascular and metabolism (CVM) programs across different stages of drug development, while also generating insights for the next generation of CVM drug targets. This role combines data science with wet lab work, analyzing and interpreting -Omics datasets and developing assays and experiments.

Key Responsibilities

• Establish and conduct experiments with disease-relevant in vitro human cell models.
• Develop, qualify, and validate custom assays (e.g., ELISA, Simoa, NULISA) to support disease-oriented translational research & pipeline programs.
• Analyze -Omics datasets (e.g., proteomics, metabolomics, RNAseq) generated from clinical and preclinical samples to discover candidate biomarkers and targets.
• Clearly and concisely communicate findings internally and externally through written reports, publications, and presentations.
• Collaborate closely with other gRED departments and external partners.

Requirements & Tech Stack

• PhD in Biological Sciences and 0-6 years of experience in a post-doc or industry setting with wet lab and bioinformatics experience demonstrated in high-impact publications.
• Experience in, and deep technical understanding of, sample collection/processing and cellular/molecular lab techniques such as cell culture, primary cell isolation from tissues, immunostaining, molecular biology, ELISA, western blot, genomic sequencing, qRT-PCR, and/or transcriptomics is required.
• Sufficient programming experience using R or Python to run differential expression pipelines, perform pathway enrichment analysis, and generate compelling figures.
• Must demonstrate independence with ability to develop hypotheses, design experiments/studies, develop analysis plans, interpret and present results.
• Excellent oral and written presentation skills.
• Creative problem-solving abilities.
• Passion for drug discovery and development.
• Excellent teamwork, communication, time management, and organization skills.
• Ability to work independently.

Past experience with human/clinical research or a deep understanding of metabolism or metabolic diseases is a plus, but not required.

Location & Compensation

• Primarily onsite position in South San Francisco.
• Relocation benefits are not available for this posting.
• Expected salary range: $100,400 - $186,400.
• A discretionary annual bonus may be available based on individual and Company performance.
• This position qualifies for benefits detailed at the provided link.