Senior Scientist

Main Duties & Responsibilities

• Perform and optimize high-throughput (HT) intact protein analysis, including data acquisition, data processing, and reporting for discovery-stage biologics such as antibodies, multispecifics, and various protein reagents.
• Develop and apply advanced analytical tools, focusing on mass spectrometry and chromatography-based techniques, to characterize discovery-stage biotherapeutics, facilitating critical decision-making.
• Design and implement peptide mapping assays for protein characterization to support the developability assessment of pipeline projects.
• Conduct analytical methods to deeply characterize the biophysical and biochemical properties of discovery-stage biologics.
• Collaborate with the Protein Analytics and Developability team to refine HT assay workflows, ensuring accuracy and reliability in data collection and interpretation.
• Analyze and interpret complex datasets, providing insights to drive decision-making in pipeline projects.
• Stay at the forefront of technological advancements in mass spectrometry and other analytical technologies, integrating innovative solutions to enhance current workflows.
• Participate in cross-functional project teams, giving technical expertise to inform project strategies and directions.
• Draft technical reports and supply to scientific publications, patents, and regulatory submissions as necessary.
• Mentor junior scientists in experimental design and data analysis to cultivate a collaborative and productive research environment.

Required Skills

• Confirmed expertise in LC-MS (ThermoFisher Orbitrap, Agilent QTOF) and software platforms, including Protein Metrics Suite, BioPharma Finder and PEAKS, for intact mass deconvolution, peptide mapping analysis, post-translational modifications (PTMs), characterization of charge variants, and disulfide mapping.
• Hands-on experience with a wide variety of analytical methods for protein characterization, including but not limited to LC-MS, HIC, SEC, cIEF, IEX, CE-SDS, DLS, DSC, DSF and ELISA.
• Experience in assay troubleshooting and optimization, with a strong understanding of assay development and execution.
• Proficiency in data analysis and statistical methods for interpreting complex biological data.
• Strong collaborative skills and ability to work effectively within multidisciplinary teams.
• Excellent communication and presentation skills to convey technical information clearly and succinctly.
• AI-fluent, with the ability to use AI tools effectively to support data analysis, interpretation, workflow efficiency, and scientific communication.

Desired Skills

• Hands-on experience with additional high-throughput, plate-based protein analytical and biophysical techniques, instrumentation, and automation platforms.
• Programming and software skills, including Python, MATLAB, PyMOL and Maestro.
• Hands-on experience with AI/ML methods (e.g., supervised learning, statistical modeling, and automation) to support advanced analytical workflows and data-driven decision-making.
• Experience working in a global, cross-site research environment.

Minimum Education & Experience Requirements

• BS with 5+ years of relevant experience
• MS with 3+ years of relevant experience
• PhD with relevant experience