Computational Chemist, Target Druggability and Structure-Based Design
Core
Computational chemist supporting drug discovery projects, target selection, and structure-based drug design using molecular modeling and structural biology.
Role type
Senior IC computational chemist (structure-based drug design)
Builds
Drug discovery strategies, target-tractability assessments, and computational models for ligand binding
Domain
Biopharmaceuticals / Computational Chemistry / Structural Biology
Deliverable
production ML models
Required skills
Molecular modeling, structural biology, computationally-driven lead optimization, virtual ligand screening, generative structure prediction, cryptic pocket identification, protein structure interpretation
Preferred skills
Postdoctoral experience, industry experience, cross-functional training in experimental structural biology or hit-finding
Technologies
Schrödinger drug discovery technologies
Responsibilities
Support active drug discovery projects as a computational chemist/modeler; Contribute to new-target selection by integrating structural, computational, biophysical, and biological evidence; Partner with cross-functional experts to develop strategies for promising targets; Work closely with internal software development teams to improve drug discovery technologies; Share knowledge with the greater Schrödinger Therapeutic Group
Seniority
Senior, hands-on IC