Senior Scientist, Protemics

We are seeking a Senior Scientist, Proteomics to help advance a next-generation chemical proteomics platform supporting drug discovery and target validation efforts. This individual will play a key role in developing and applying mass spectrometry-based proteomics workflows to generate biological insights, characterize compounds, and support biomarker discovery across multidisciplinary research programs.

• Develop, optimize, and execute targeted chemoproteomics and quantitative proteomics workflows.
• Operate, maintain, and troubleshoot advanced LC-MS instrumentation, including Orbitrap-based platforms.
• Design scalable sample preparation and experimental workflows to support high-throughput applications.
• Analyze and interpret complex proteomics datasets using quantitative and statistical approaches.
• Collaborate closely with biology, chemistry, computational, and platform teams to design experiments and guide project strategy.
• Drive innovation in chemical proteomics technologies and methodologies to expand platform capabilities.
• Present findings and recommendations to cross-functional stakeholders.

• PhD in Analytical Chemistry, Chemical Biology, Biochemistry, or a related discipline with 4+ years of industry experience, or MS with 6+ years of relevant industry experience.
• Deep expertise in mass spectrometry-based proteomics and LC-MS instrumentation.
• Experience with quantitative proteomics approaches such as TMT, DIA, PRM, or related methods.
• Strong background in targeted chemoproteomics and compound profiling applications.
• Experience analyzing large-scale proteomics datasets using tools such as Proteome Discoverer, Spectronaut, Max Quant, or MSFragger.
• Proficiency with data analysis and scripting in Python and/or R.
• Strong understanding of experimental design, assay development, and quantitative data interpretation.
• Experience with peptide mapping, intact mass analysis, or laboratory automation platforms is a plus.
• Demonstrated ability to work independently while collaborating effectively in a fast-paced discovery environment.