Senior Scientist – Quantitative LC-MS Protein Bioanalysis

Key Responsibilities

• Develop, optimize, and perform fit-for-purpose quantitative LC-MS assays to measure target proteins for the assessment of target abundance, target engagement, protein turnover, subcellular trafficking kinetics, protein-protein interactions, and etc.
• Design and implement innovative bioanalytical strategies and workflows that support mechanistic understanding of drug-target interactions, pathway modulation, pharmacodynamic responses, and biomarker kinetics.
• Apply quantitative mass spectrometry-based workflows to support studies in complex biological matrices, including plasma, tissue, and in vitro systems.
• Develop and adapt sample preparation, enrichment, and LC-MS workflows based on the intended biological question and assay requirements, balancing sensitivity, selectivity, robustness, and turnaround time.
• Independently troubleshoot assay development, sample preparation, data quality, and LC-MS instrument performance issues.
• Collaborate with cross-functional project teams to interpret bioanalytical data in the context of PK/PD, translational biomarkers, target biology, and mechanisms of action.
• Maintain accurate electronic laboratory notebook records, prepare technical reports, and communicate scientific results clearly to project teams and stakeholders.

Basic Qualifications

• Doctorate degree in Analytical Chemistry, Biochemistry, Pharmaceutical Sciences, Chemical Biology, Proteomics, or a related discipline with strong LC-MS training
• OR Master's degree and 4 years of relevant experience
• OR Bachelor's degree and 6 years of relevant experience

Preferred Qualifications

• Proven expertise in LC-MS method development and quantitative bioanalysis in complex biological matrices.
• Experience developing and applying quantitative assays for therapeutics, target engagement, target modulation, target dynamics, and biomarker biology.
• Hands-on experience with proteomics workflows, including peptide mapping, enzymatic digestion, protein-drug adduct identification, intact or subunit analysis, and quantitative protein or peptide assays.
• Experience with sample preparation techniques such as biological matrix processing, tissue homogenization, immunoaffinity capture, and other fit-for-purpose bioanalytical approaches.
• Experience with automated sample preparation platforms such as AssayMAP Bravo, Tecan, KingFisher, or related systems.
• Hands-on experience with LC-MS platforms, including high-flow, micro-flow, or nano-flow LC systems, triple quadrupole, Q-TOF, and Orbitrap systems.
• Ability to independently troubleshoot analytical methods, sample preparation workflows, data quality issues, and instrument performance.
• Strong communication, collaboration, and data interpretation skills, with the ability to present complex analytical results to multidisciplinary project teams.