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 lies at the intersection of data science and the wet lab—analyzing and interpreting -Omics datasets while simultaneously developing assays and experiments to execute on data-driven insights. This is a hands-on, high-impact position designed for a scientist who is eager to apply their scientific training to the complexities of drug development in an interdisciplinary, collaborative environment.
As an integral member of our dynamic team, you will:
- 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 (goes beyond running commercial assay kits).
- 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.
Who You Are:
The ideal candidate will have:
- A 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. Past experience with human/clinical research or a deep understanding of metabolism or metabolic diseases is a plus, but not required.
- 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, and a passion for drug discovery and development.
- Excellent teamwork, communication, time management, organization skills, and ability to work independently.
Locations:
This is a primarily onsite position in South San Francisco.
Relocation benefits are not available for this posting.
The expected salary range for this position based on the primary location of California is $100,400 -186,400. Actual pay will be determined based 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. This position also qualifies for the benefits detailed at the link provided below.
