Role overview
Job Description
Research Scientist, Computational Drug Design
General Summary
We are seeking a highly motivated and experienced computational chemist to join our Computational Drug Design group in Boston. This individual will be responsible for contributing to both hit/lead identification and optimization programs using methods encompassing all computational aspects of drug discovery. The right candidate's responsibilities include close interaction with interdisciplinary projects teams to identify and advance safe and efficacious molecules. In addition, this individual will work collaboratively with the global Data and Computational Sciences group to provide expertise in data analysis, cheminformatics, and physics-based methods development. Thus, this individual must demonstrate strong interpersonal skills and have demonstrated the ability to guide scientists in drug discovery.
What you'll work on
- Apply computational chemistry methods and tools to accelerate the discovery and development of drug candidates, in close collaboration with chemists, structural biologists, biologists and other research project scientists
- Use timely decision making to ensure focus and delivery of key project objectives. Promote high levels of productivity and urgency
- Leverage physics-based methods, generative models and machine learning approaches to design new chemical entities
- Proactively work with other computational chemists and cheminformaticians to assess and develop new computational methodologies, create workflows and share successful methods
- Contribute to the further development of Vertex’s computational chemistry capabilities with a focus on physics-based methods
- Seek out opportunities to improve Vertex’s global R&D capabilities through collaboration with DMPK, Structural Biology, Safety Assessment, and other groups
What we're looking for
- Ph.D. (or equivalent degree) in Computational Chemistry and 2-5 years of productive, relevant post-doctoral employment experience
- Experience in applying a wide array of molecular modeling methods to structure, ligand and fragment-based drug discovery projects