Principal Scientist, Computational Chemistry

Responsibilities

• 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 an environment of innovation and entrepreneurship to build, integrate and apply computational tools and workflows
• Provide hands-on computational chemistry and modeling support for drug discovery projects
• Guide innovation around small molecule computational design and optimization
• Collaborate closely with Research departments, especially Medicinal Chemistry, Discovery Biology, and Discovery Technologies as an integral part of our compound design team
• Establish the Computational Chemistry strategy, including leveraging CROs and collaborators to drive our pipeline efficiently and effectively
• Champion Cytokinetics' culture of embracing scientific excellence, agility, integrity with a sense of quality and collaboration

Qualifications

• Ph.D. in Computational Chemistry, or a related discipline with an emphasis on Computational Chemistry
• 12+ years of experience in the biotech or pharmaceutical industry and demonstrated impact on project progression
• Capable of providing hands-on computational chemistry and modeling support for drug discovery projects with strong skills leveraging state-of-the-art software and approaches (e.g. MOE, Schrodinger tools, cloud computing, FEP and AlphaFold2)
• Proven leadership experience in driving teams towards common scientific goals and leading scientific drug discovery-focused activities
• Strong communication and interpersonal skills and project team experience working collaboratively with scientists and engineers
• Strong foundational understanding of Medicinal Chemistry and DMPK principles

Additional Experience

• Highly desirable: Cheminformatics and fluency with a variety of data analysis tools
• Programming skills in Python and/or R
• Utilization of AI technologies towards Computational Chemistry including areas of hit-finding through lead optimization
• Experience and/or familiarity with utilization of AI technologies to drive drug discovery
• Big picture thinking with an enthusiasm to drive computational methods forward to help develop novel medicines for patients

Pay

In the U.S., the hiring pay range for fully qualified candidates is $202,500-$236,250 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors.

Company Information

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction. At Cytokinetics, each team member plays an integral part in advancing our mission to improve the lives of patients. We are seeking tenacious, compassionate, and collaborative individuals who are driven to make a positive impact. We are seeking a candidate with the primary responsibility to lead the computational chemistry efforts and help drive the Research portfolio.