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, and clinical safety datasets Implement graph-based retrieval-augmented generation (RAG) methods to enhance knowledge extraction and information synthesis Develop cross-pathway analytical methods using
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candidate selection or drug product development using knowledge of GI physiology, drug molecular attributes, and drug product excipients. The candidate will participate in the Biopharmaceutics cross
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Qualifications PhD in Neuroscience or related field (summer and fall graduates are also welcome to apply). Strong knowledge and experience with patch-clamp electrophysiology. The ability to perform patch-clamp
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) Knowledge regarding machine learning operations (MLOps) principles Experience in curating and analyzing large-scale biomedical datasets Key Leadership Competencies Builds strong relationships with peers and
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Qualifications Tumor model development and tumor measurement experience Fluorescent imaging for biodistribution Imaging data analysis Working knowledge of pharmacokinetic, tissue penetration, and binding site
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. Preferred Qualifications Experience in various genome editing methods involving lentivirus or RNP-based delivery methods. Flow cytometry and cell sorting experience. Working knowledge in genomics technologies