Computational Medicinal Chemist
Core
Design medicinal chemistry efforts and drive hypothesis generation for small molecule drug discovery using computational methods.
Role type
Senior IC computational medicinal chemist (CADD)
Builds
Predictive models for lead optimization and drug candidate nomination
Domain
Pharmaceutical drug discovery / Computational chemistry
Deliverable
production ML models | product features
Required skills
Structure-activity relationships (SAR), structure-based and ligand-based drug design, machine learning, active learning, physics-based CADD, high-performance computing, data visualization
Preferred skills
Analogue design, induced proximity space modeling, biophysical characterization, cellular validation
Technologies
Schrödinger, CCG, OpenEye
Responsibilities
Apply predictive methods for assessing on- and off-target activity, PK/PD, and synthetic feasibility; collaborate with interdisciplinary teams on target identification and lead optimization; take a leading role in cross-disciplinary mechanistic studies using physics-based modeling and simulation
Seniority
Senior, hands-on IC
