Research: Senior Scientist I/Scientist II, Computational Chemistry

Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit elusive frontier targets within notorious growth and survival pathways, with particular emphasis on RAS and mTOR signaling pathways. As a new member of the RevMed team, you will join other outstanding scientists who are helping lead our efforts in the discovery and development of new medicines for unmet needs in cancer.


As a key contributor to our Chemistry team, you will:

  • Partner and integrate with multidisciplinary, highly collaborative discovery teams to design, optimize, and accelerate the development of novel drug candidates using advanced computational techniques.

  • Enhance our understanding of SAR from Ro5 and beyond Ro5 projects and influence the team strategy using state of the art computational methodologies including structure guided and machine learning approaches.

  • Develop computer models and simulations of chemical and biochemical processes and entities.

  • Enhance our computing capabilities through application of innovative methodologies and through deployment of custom software tools developed in conjunction with RevMed’s Scientific Computing group.

  • Provide innovative ideas and models to challenge and shape project thinking; serve as a lead computational chemist on drug discovery projects.

Required Skills
  • Ph.D. in computational chemistry, medicinal chemistry, or a closely related field.

  • Up to 5 years of computational chemistry experience in the biotech/pharma industry.

  • Experience in one or more of the following:  virtual screening, structure-based drug design, homology modelling, molecular dynamics simulations, QSAR, matched-pair analyses, ligand-based drug design, and prediction of ADMET/QSPR properties.

  • Expert level knowledge of contemporary computational chemistry methods and their use in ligand design and data analysis as applied to drug designs.

  • Experience with cheminformatics tools and data analytics techniques.

  • Experience in scientific programming or scripting languages such as shell, Python, Perl, R, and/or C.

  • Excellent interpersonal and written communication skills to work with project and departmental teams to address issues impacting the progress of research projects is essential.

  • Ability to interpret project data and proactively suggest ideas for potency, selectivity improvement, etc., within the med chem design cycle to identify novel drug candidates.

  • Thrives in a collaborative team setting and is driven by a desire to be innovative in a high energy, small company environment.