Scientist 3 Translational Medicine (Cardiovascular and Metabolism)

About the role

The Position We advance science so that we all have more time with the people we love. Genentech's Translational Medicine OMNI (TM OMNI) Department supports the entire R&D portfolio of novel therapies in Ophthalmology, Metabolism, Neuroscience, Immunology, and Infectious Diseases (OMNI). We develop and implement biomarker strategies to study disease pathways, confirm a therapeutic's mechanism of action, and improve clinical trial efficiency and success.

Responsibilities

• Analyze -Omics datasets (e.g. proteomics, metabolomics) generated from clinical and preclinical samples to discover candidate biomarkers and targets
• Develop, qualify, and validate custom assays (e.g., ELISA, Simoa, NULISA) against biomarkers of interest to support pipeline programs (goes beyond running commercial assay kits)
• Perform experiments with disease-relevant in vitro human cell models. Conduct or coordinate exploratory human studies to develop and validate biomarkers with internal and external collaborators
• Clearly and concisely communicate findings internally and externally through written reports, publications, and presentations
• Collaborate closely with internal partners, including Drug Discovery, Research Biology, Bioanalytical Sciences, Biochemical and Cellular Pharmacology, Tissue Genomics and Proteomics, Biostatistics, Computational Sciences, and Clinical Pharmacology

Requirements

The ideal candidate will have:

• A PhD in Biological Sciences with 0-4 years in both bioinformatics and wet lab experience demonstrated in scientific publications. Clinical-translational experience is desirable.
• Experience in, and deep technical understanding of, preclinical and clinical sample collection/pro‐ processing and cellular/molecular lab techniques such as cell culture, primary cell isolation from tissues, immunostaining, molecular biology, ELISA, western blot, flow cytometry, genomic sequencing, qRT-PCR, and/or transcriptomics is required.
• Proficient in programming (using R or Python) to apply biostatistical and bioinformatics methods to both pre-clinical and clinical data sets.
• Demonstrate independence with ability to develop hypotheses, design experiments/studies, develop analysis plans, interpret and present results.
• Excellent teamwork, communication, time management, organization skills, and ability to work independently.
• Excellent oral and written presentation skills, creative problem-solving abilities, and a passion for drug discovery and development.

Qualifications

The ideal candidate will have:

• A PhD in Biological Sciences with 0-4 years in both bioinformatics and wet lab experience demonstrated in scientific publications. Clinical-translational experience is desirable.
• Experience in, and deep technical understanding of, preclinical and clinical sample collection/pro‐ processing and cellular/molecular lab techniques such as cell culture, primary cell isolation from tissues, immunostaining, molecular biology, ELISA, western blot, flow cytometry, genomic sequencing, qRT-PCR, and/or transcriptomics is required.
• Proficient in programming (using R or Python) to apply biostatistical and bioinformatics methods to both pre-clinical and clinical data sets.
• Demonstrate independence with ability to develop hypotheses, design experiments/studies, develop analysis plans, interpret and present results.
• Excellent teamwork, communication, time management, organization skills, and ability to work independently.
• Excellent oral and written presentation skills, creative problem-solving abilities, and a passion for drug discovery and development.

Skills

The ideal candidate will have:

• Experience in, and deep technical understanding of, preclinical and clinical sample collection/pro‐ processing and cellular/molecular lab techniques such as cell culture, primary cell isolation from tissues, immunostaining, molecular biology, ELISA, western blot, flow cytometry, genomic sequencing, qRT-PCR, and/or transcriptomics is required.
• Proficient in programming (using R or Python) to apply biostatistical and bioinformatics methods to both pre-clinical and clinical data sets.
• Demonstrate independence with ability to develop hypotheses, design experiments/studies, develop analysis plans, interpret and present results.
• Excellent teamwork, communication, time management, organization skills, and ability to work independently.
• Excellent oral and written presentation skills, creative problem-solving abilities, and a passion for drug discovery and development.

Benefits

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.

Genentech Benefits

Pay

The expected salary range for this position based on the primary location of California is $100,400 -186,400.

Schedule

This is a full-time position.