Principal Scientist, Computational Chemistry

In This Role You Will
- Lead efforts focused on molecular modeling, structure-based drug design and generative design
- Advance current drug discovery process by co-developing augmented computational strategy for hit-finding through lead optimization
- Foster innovation by building, integrating and applying computational tools and workflows
- Provide hands-on computational chemistry guidance and support for drug discovery projects
- Guide innovation around small molecule computational design and optimization
- Collaborate closely with Research departments (Medicinal Chemistry, Discovery Biology, Discovery Technologies) as part of the compound design team
- Establish computational chemistry strategy, leveraging CROs and collaborators to drive the pipeline
- Mentor medicinal chemists and champion scientific excellence, agility, integrity, quality, and collaboration

Qualifications
- Ph.D. in Computational Chemistry (or related discipline with emphasis on Computational Chemistry)
- 12+ years of biotech/pharmaceutical industry experience with demonstrated impact on project progression
- Hands-on computational chemistry and modeling support experience for drug discovery using state-of-the-art software/approaches (e.g., MOE, Schrödinger tools, cloud computing, FEP, AlphaFold2)
- Proven leadership experience driving teams toward common scientific goals in drug discovery
- Strong communication/interpersonal skills; collaborative experience with scientists and engineers
- Foundational understanding of Medicinal Chemistry and DMPK principles

Additional Experience (Highly Desirable)
- Cheminformatics and fluency with data analysis tools
- Programming skills in Python and/or R
- Experience with AI technologies for computational chemistry (e.g., hit-finding through lead optimization) and drug discovery

Application Instructions
- Please visit www.cytokinetics.com