Director, Computational Chemistry

Role Summary

Director, Computational Chemistry will lead the design and execution of computational chemistry strategies to enable hit finding and optimization in small-molecule drug discovery. You will collaborate with medicinal chemistry and project teams to advance potency, selectivity, and ADME/Tox profiles, and contribute to building internal AI/ML capabilities.

Responsibilities

• In close collaboration with medicinal chemists and project teams, apply a wide variety of drug-design and computational chemistry methods towards hit-finding, optimization of potency, selectivity, and ADME/Tox properties
• Assimilate, summarize, and apply SAR understanding by leveraging physics-based and data-driven modeling technologies to address discovery challenges
• Develop, deploy, and expand internal AI/ML capabilities
• As part of Design Teams and Project Teams, contribute to project strategies

Qualifications

• PhD, or equivalent, in the field of chemistry or computational chemistry with 8+ years of experience working in small-molecule drug discovery teams in a pharma or biotech setting
• Strong track record of successfully applying computational approaches, including but not limited to SBDD/FBDD, pharmacophore development, data analytics, virtual screening, machine-learning, and molecular dynamics studies to impacting drug discovery
• Comprehensive understanding of modern drug discovery including target identification, hit finding, Biology, Medicinal Chemistry, and DMPK principles
• Experience with CADD software such as Schrodinger, MOE, and proficiency coding in Python
• Excellent organizational skills and ability to multi-task in an extremely fast-paced environment
• Ability to communicate clearly and concisely with all stakeholders
• Goal-driven, operates with a sense of urgency, highly collaborative, open-minded, data-driven, and creative
• Persistent in the face of obstacles and uncertainty, flexible, self-aware of strengths and weaknesses, direct objectivity in the evaluation of data, and strongly optimistic about overcoming challenges

Skills

• Expertise in computational drug discovery methods and their application to medicinal chemistry goals
• Proficiency with CADD software (e.g., Schrödinger, MOE) and Python programming
• Strong communication and collaboration skills, with ability to influence cross-functional teams

Education

• PhD, or equivalent, in chemistry or computational chemistry