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