Director, Computational Chemistry & Drug Discovery

Revolution Medicines, Inc.; San Francisco (CA); Presencial; USD 186.000 - 233.000; Jornada completa

Descripción de la vacante

Revolution Medicines, Inc. is seeking an Associate Director of Computational Chemistry to lead computational support for drug discovery and guide compound design from hit finding through lead optimization.

The role reports to the Head of Computational Chemistry and drives TQ contributions across programs, coordinating priorities and ensuring impactful scientific outcomes. The candidate will collaborate across disciplines (chemistry, biology, and screening), develop AI/ML approaches, and set

Formación

• PhD in computational chemistry or related field with 10+ years post-PhD.
• Proven leadership across discovery programs and strategic influence.
• Strong programming in Python with cheminformatics and ML experience.

Responsabilidades

• Lead computational support for drug discovery programs.
• Shape project direction and compound design from hit finding through lead optimization.
• Coordinate TQ efforts; ensure quality, timeliness and impact of work.
• Collaborate with chemistry and biology teams to define key questions and priorities.
• Develop and apply structure-based and ligand-based virtual screening; design libraries.
• Guide MD, enhanced sampling and free energy methods; stay hands-on.

Conocimientos

Python programming

Cross-functional leadership

Scientific communication

Mentoring

Strategic planning

Educación

Ph.D. in computational chemistry or related field

Herramientas

Python

Docking

MD software

Descripción del empleo

Revolution Medicines, Inc. is seeking an Associate Director of Computational Chemistry to lead computational support for drug discovery and guide compound design from hit finding through lead optimization.

The role reports to the Head of Computational Chemistry and drives TQ contributions across programs, coordinating priorities and ensuring impactful scientific outcomes. The candidate will collaborate across disciplines (chemistry, biology, and screening), develop AI/ML approaches, and set