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attributes,stability/process-relevant degradation pathways, and analytical strategies used to characterize ADCCQAs. This candidate will integrate formulation, analytical, and process data to guide product
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analysis pipelines to efficiently explore formulation design space and support data-driven decision making. Identifyand address technology gapsimpactingbiologics stability, protein-excipient interactions
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, protein-excipient interactions, and process-related stress responses. Apply machine learning, AI, laboratory automation, and advanced data science to predictive modeling, workflow acceleration, and decision
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, mammalian cell culture, flow cytometry, and NGS analysis workflows is a plus Excellent critical thinking, organizational, and communication skills Passion to learn and work collaboratively within a large team
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strategies used to characterize ADCCQAs. This candidate will integrate formulation, analytical, and process data to guide product design,applycutting-edgetechnologies (including AI/ML), and collaborate cross