Principal Scientist, Computational Chemistry

Role: Lead Computational Chemist to drive structure-guided drug design and molecular modeling within Cytokinetics' cardiovascular research pipeline. Responsibilities: lead molecular modeling efforts, develop computational strategies for hit-to-lead and lead optimization, mentor medicinal chemists, collaborate with research teams, and manage external CRO partnerships. Qualifications: Ph.D. in Computational Chemistry or related field, 12+ years in biotech/pharma with proven project impact; expertise in software like MOE, Schrodinger, cloud computing, FEP, AlphaFold2; strong leadership and communication skills, foundational medicinal chemistry and DMPK knowledge. Preferred: proficiency in cheminformatics, programming in Python/R, experience with AI in drug discovery, and big-picture innovation mindset. High-Value Details: focus on small molecule drug discovery for cardiovascular diseases, leveraging advanced computational techniques, with strategic collaboration across R&D departments to enhance compound quality towards clinical development.