Principal Scientist
Core
Develop high-throughput mass spectrometry workflows and apply Generative AI to analyze metabolomics and lipidomics data for drug discovery.
Role type
Principal Scientist (Small Molecule Biomarkers)
Builds
High-throughput LC-MS workflows and AI-driven analytical pipelines
Domain
Pharmaceutical R&D / Drug Metabolism and Pharmacokinetics (DMPK)
Deliverable
production ML models | dashboards & analysis
Required skills
LC-HRMS and LC-MS/MS method development, metabolomics and lipidomics assay design, sample preparation (precipitation, liquid-liquid, solid-phase extraction), LC-MS platform operation and troubleshooting, Generative AI tools for coding and insight generation, statistical analysis of mass spectrometry data
Preferred skills
Experience in cellular metabolism, multidisciplinary project collaboration
Technologies
UHPLC, triple quadrupole, high-resolution mass spectrometers, Generative AI tools
Responsibilities
Design and apply LC-HRMS and LC-MS/MS methods to acquire biomarker data; execute global and targeted metabolomics and lipidomics protocols; perform mass spectrometry data processing and statistical analysis; build or leverage Generative AI tools to scale analysis; oversee bioanalytical quality control; partner with multidisciplinary teams to translate omics data into actionable research
Seniority
Principal, hands-on IC with strategy
