Takeda logo

Associate Director, Computational Chemistry

Takeda
Full-time
Remote friendly (Boston, MA)
United States
$153,600 - $241,340 USD yearly
Clinical Research and Development

Want to see how your resume matches up to this job? A free trial of our JobsAI will help! With over 2,000 biopharma executives loving it, we think you will too! Try it now — JobsAI.

Role Summary

Associate Director, Computational Chemistry. Lead computational chemistry efforts to advance drug discovery, provide computational expertise within a multidisciplinary team, and drive project progression across research sites. Implement and execute innovative computational methodologies and tools to support drug discovery efforts.

Responsibilities

  • Demonstrate expert understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment.
  • Identify, develop, validate, and implement innovative computational approaches that improve research productivity and success.
  • Provide crucial technical knowledge and input to project teams to drive decision-making in drug discovery projects.
  • Build and develop a strong team of Computational Chemists to high productivity levels.
  • Lead and execute novel scientific projects and platform initiatives.

Qualifications

  • PhD degree in a scientific discipline with 7+ years of Industry (pharma/biotech) drug discovery experience required
  • Significant industry experience contributing as Computational Chemist on drug discovery projects
  • Strong impact in progressing discovery projects from hits to clinical leads
  • Extensive knowledge and experience in using tools for hit identification and computational strategies to inform, influence, and prioritize compound designs for potency/rigor and ADME/Tox endpoints
  • Ability to integrate generative chemistry methods and modern ML/AI applications in small molecule drug discovery
  • Proficiency with state-of-the-art Computational Chemistry software

Skills

  • Expertise in docking, virtual screening, molecular dynamics, free energy perturbation, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics, clustering, and diversity analysis
  • Experience providing computational strategies to inform and prioritize compound designs
  • Strong leadership and ability to supervise and develop teams

Education

  • PhD in a scientific discipline (required)

Additional Requirements

  • The position is based in Cambridge, MA; hybrid work arrangement
Apply now
Share this job