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• Define and lead analytical and biophysical characterization strategies that address key scientific questions and support therapeutic protein discovery, lead optimization, and development candidate selection.
• Design, execute, and interpret analytical, biophysical, mass spectrometry, and stability studies to characterize molecular identity, product quality, critical quality attributes, molecular behavior, and degradation pathways.
• Generate molecular insights by integrating analytical and biophysical datasets to establish structure-property relationships and translate findings into protein engineering, candidate selection, and development decisions.
• Serve as the analytical and biophysical characterization lead on cross-functional project teams, partnering closely with Biologics Discovery, Biology, CMC, and external CROs to develop characterization strategies, solve complex scientific challenges, and ensure high-quality execution.
• Evaluate, implement, and advance analytical and biophysical technologies, workflows, and external partnerships to strengthen internal capabilities and support the advancement of a growing pipeline.
• Provide technical leadership and mentorship within the Protein Science organization, fostering scientific rigor, collaboration, innovation, and continuous learning.
• Communicate scientific findings, strategic recommendations, and project updates to multidisciplinary teams, senior leadership, and external collaborators.

• Ph.D. in Biochemistry, Biophysics, Protein Chemistry, Chemical Engineering, or a related scientific
  discipline, plus 3+/5+ years of relevant industry and/or postdoctoral experience; or M.S. with 8+/10+ years or B.S. with 12+/15+ years of relevant industry experience in therapeutic protein discovery, characterization, or early development, for the Senior Scientist/Principal Scientist levels, respectively.
• Deep understanding of protein chemistry, molecular biophysics, therapeutic protein quality attributes, and the analytical and biophysical principles governing protein stability, heterogeneity, and developability.
• Demonstrated experience designing, executing, and interpreting analytical, biophysical, developability, and stability characterization studies to support therapeutic protein discovery, lead optimization, and development candidate selection.
• Extensive hands-on experience with analytical characterization techniques, including SECHPLC/UHPLC, IEX/CEX, HIC, CE-SDS, icIEF, AC-SINS, and LC-MS (e.g., intact mass, peptide mapping, PTM characterization), as well as biophysical characterization techniques including DLS, DSF/nanoDSF, DSC, and related methodologies.
• Experience designing and interpreting developability studies, including the use of orthogonal approaches such as PEG solubility, AC-SINS, self-interaction, viscosity, solubility, and polyspecificity/nonspecific binding assays, or related methodologies.
• Experience designing and interpreting accelerated stability, stress, and forced degradation studies, including the investigation of degradation pathways, molecular liabilities, and critical quality attributes.
• Demonstrated ability to integrate analytical, biophysical, and biological datasets to establish structure-property relationships and translate findings into protein engineering, candidate selection, and development decisions.
• Proven ability to lead scientific initiatives and collaborate effectively across multidisciplinary teams.
• Excellent scientific communication, critical thinking, and problem-solving skills, with the ability to communicate complex scientific concepts and influence technical decision-making.

• Experience with advanced protein-protein interaction techniques, including SPR, BLI, KinExA, or related technologies.
• Experience with therapeutic protein expression, purification, and process development.
• Experience with complex biologic modalities (e.g., multispecific antibodies, antibody-drug conjugates, fusion proteins, or other engineered biologics).
• Experience working at the interface of experimental and computational sciences, supporting AI/ML-enabled protein engineering and therapeutic discovery through the generation of highquality analytical and biophysical datasets.
• Experience implementing new analytical technologies, establishing laboratory capabilities, and developing scalable scientific workflows.
• Experience working with large, multidimensional datasets and leveraging modern computational and AI-enabled tools (e.g., Python, workflow automation, AI coding assistants, interactive scientific applications, and data visualization platforms) to improve scientific productivity, data analysis, and decision-making.
• Experience managing external CROs and scientific collaborations.
• Experience mentoring scientists and contributing to the growth of a collaborative scientific organization. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.