Role Summary
Computational Chemistry Senior Research Scientist. We are seeking a highly motivated and experienced computational chemist to join our Computational Drug Design group in Boston. This role contributes to hit/lead identification and optimization programs using all computational aspects of drug discovery, collaborating with interdisciplinary project teams and the global Data and Computational Sciences group to provide expertise in data analysis, cheminformatics, and physics-based methods development.
Responsibilities
- 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 Vertexβs computational chemistry capabilities with a focus on physics-based methods
- Seek out opportunities to improve Vertexβs global R&D capabilities through collaboration with DMPK, Structural Biology, Safety Assessment, and other groups
Qualifications
- Excellent interpersonal, communication and presentation skills
- In depth knowledge of physics-based methods and the state-of-the-art in computational chemistry and their application in drug discovery
- Experience with commercial and open-source molecular modeling and data mining software
- Knowledge of concepts related to drug discovery and development
- Strong solution-oriented attitude, spirit of innovation and creativity, good time and priority management
- Scripting and programming expertise in languages such as Python
- 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
Education
- 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