Computational Medicinal Chemist

Role: 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.