SE7

As a Principal Scientist in Small Molecule Biomarkers (Metabolomics & Lipidomics) within our Drug Metabolism and Pharmacokinetics (DMPK) team, you will play a key role in advancing safe and effective therapeutics for patients. Joining Genentech Research and Early Development (gRED), you will empower drug discovery across the organization by developing high-throughput mass spectrometry workflows and applying modern tools—including Generative AI—to drive biological insights.

Key Responsibilities:

●      Method Development: Design and apply LC-HRMS and LC-MS/MS methods to acquire high-quality mass spectrometry biomarker data supporting drug discovery and development.

●      Experimental Execution: Prepare and execute global and targeted metabolomics and lipidomics protocols across diverse biological specimens, including biofluids, tissues, and cells.

●      Data & AI Workflows: Perform mass spectrometry data processing and statistical analysis; build or leverage Generative AI tools and software workflows to scale analysis and reporting.

●      Quality & Insight: Oversee rigorous bioanalytical quality control using common industry practices and critical analytical reasoning.

●      Cross-Functional Collaboration: Partner with multidisciplinary teams and project stakeholders to translate complex omics data into actionable drug target research.

You are an innovative analytical scientist with a passion for cellular metabolism, mass spectrometry technology, and emerging computational tools. You thrive in collaborative, high-impact environments and want to translate cutting-edge omics data into life-changing medicines.

Qualifications & Experience:

●      Education & Industry Experience: PhD in biological, chemical, pharmaceutical sciences, or a related field, accompanied by 3–5 years of direct experience in the biotechnology or pharmaceutical industry.

●      Bioanalytical Expertise: Proven experience designing and executing assays for endogenous small molecule metabolites or lipids, including sample preparation techniques like precipitation, liquid-liquid, or solid-phase extraction.

●      Technical Mastery: Practical experience operating and troubleshooting modern LC-MS platforms (e.g., UHPLC, triple quadrupole, high-resolution mass spectrometers) and using analytical data processing software.

●      Metabolic & Computational Insight: Solid foundation in cellular metabolism, coupled with hands-on experience or strong aptitude using Generative AI tools for coding and biological insight generation.

●      Collaboration & Communication: Excellent communication skills with a proven track record of working effectively in multidisciplinary project teams.

Relocation benefits are available for this posting.

The expected salary range for this position based on the primary location of California is $143,200 - $265,900.  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.