Computational Medicinal Chemist

Senior Expert I, Data Science in computational drug discovery, focusing on structure-activity relationships, structure-based and ligand-based design, and predictive modeling for small molecule drug development. Responsibilities lead design efforts integrating machine learning, physics-based CADD methodologies, and experimental data collaborate across disciplines to inform target validation, lead optimization, and candidate nomination drive hypothesis generation for diverse modalities including small molecules, peptides, RNAs, and protein degraders and support mechanistic studies using biophysical and cellular validation techniques Requirements PhD in medicinal chemistry, computational chemistry, cheminformatics, or related field 2+ years post-graduate experience in drug discovery proficiency with computational tools like Schrödinger, OpenEye, high-performance computing strong publication record preferred excellent communication and visualization skills proactive in project support with a clinical focus HighValue: emphasis on machine learning, physics-based modeling, and multi-modal data integration for small molecule discovery collaborative work with multidisciplinary teams location: hybrid San Diego, CA #J-18808-Ljbffr Novartis