Scientist – Discovery Proteomics

Design and implement complex proteomics workflows, including sample preparation, liquid chromatography, and mass spectrometry for both discovery and targeted approaches (e.g., TMT, PRM, label-free DDA & DIA) to support cell surface target discovery.
Use data processing software (e.g., Proteome Discover, Spectronaut, DIA-NN) and collaborate with the bioinformatics team for streamlined data sharing.
Work closely with scientists across functions, present analysis results to stakeholders, collaborate on data integration, and utilize external resources as needed.
Present research findings to colleagues, at scientific meetings (oral or poster presentations) and publish in peer-reviewed journals.
Maintain detailed records of experiments, protocols, and analyses.

A technical understanding of mass spectrometry and data analysis for quantitative proteomic research, including DDA, DIA, TMT, PTM analysis, with an emphasis on proximity labeling and cell surface proteomics.
Demonstrated capability of troubleshooting and evaluating LC/MS performance.
A proven track record of scientific innovation and accomplishment in mass spectrometry and proteomics, as demonstrated by a strong publication record and conference presentations.
Experience in cell surface proteomic approaches including enrichment methods such as cell surface capture and photo catalytic proximity labeling.
Function optimally in a team-based or collaborative environment as part of a highly integrated team, possess excellent organizational, verbal, and written communication skills, and demonstrate the ability to produce reliable and reproducible results.
Experience with automated sample handlers (e.g. Opentrons, Agilent Bravo AssayMAP, Kingfisher) or other high-throughput approaches.
Demonstrated capability of working with diverse sample types including cell lines, tissues (mass-limited), biofluids and FFPE.