We are seeking a highly accomplished and hands-on Executive Director of Computational Chemistry to build and lead our computational drug discovery capabilities in a fast-growing biotech environment. This leader will drive the design of novel small molecules against high-value biological targets using structure-based drug design (SBDD), physics-based modeling, and cutting-edge AI/ML approaches.

The successful candidate will directly contribute to active discovery programs while also leading the implementation of  AI tools across the discovery organization. The Executive Director will serve as both a scientific driver and a platform builder, partnering closely with Medicinal Chemistry, Biology, Structural Biology, and executive leadership to accelerate pipeline progression.

Key Responsibilities

Scientific & Strategic Leadership

· Define and execute computational chemistry strategy from target validation through candidate nomination.

· Lead structure-based drug design efforts to enable hit identification and lead optimization. 

· Identify, evaluate, and deploy AI tools across medicinal chemistry, biology, DMPK, and translational research.

Hands-On Drug Design

· Personally contribute to programs using molecular docking, virtual screening, molecular dynamics, and free energy methods (FEP/TI).

· Leverage structural biology data (X-ray, cryo-EM, homology models, AlphaFold) to guide rational design.

· Drive scaffold hopping, de novo design, and multi-parameter optimization strategies.

· Implement generative chemistry, predictive ADME/Tox models, and decision-support systems.

· Promote AI adoption and literacy across the R&D organization.

· Ph.D. in Computational Chemistry, Biophysics, Chemical Physics, or related discipline.

· 5–20 years of industry experience supporting small-molecule drug discovery.

· Demonstrated success partnering with medicinal chemistry programs that have advanced into clinical development

· Deep expertise in SBDD, docking, molecular dynamics, FEP, and cheminformatics.

· Strong working knowledge of AI/ML applications in molecular design, generative chemistry, and predictive modeling.

· Hands-on leader who remains scientifically engaged.

· Strong cross-functional collaborator with executive presence.

· Passionate about building AI-enabled drug discovery platforms that deliver transformative therapeutics.