- 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 project scientists
- Leverage physics-based methods, generative models and machine learning approaches to design new chemical entities
- Contribute to the further development of Vertex's computational chemistry capabilities with a focus on physics-based method (e.g. FEP, ABFE, QM)
- Use timely decision making to ensure focus and delivery of key project objectives. Promote high levels of productivity and urgency
- Proactively work with other computational chemists and cheminformaticians to assess and develop new computational methodologies, create workflows and share successful methods
- Seek out opportunities to improve Vertex's global R&D capabilities through collaboration with DMPK, Structural Biology, safety assessment, and other groups
- 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/or 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
- Excellent interpersonal, communication and presentation skills
- Ph.D in Computational Chemistry or related discipline or equivalent combination or education and experience.
- Post-doctoral employment and experience in drug discovery is required
- Experience in applying a wide array of molecular modeling methods to structure, ligand and fragment-based drug discovery projects
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Senior Research Scientist, Computational Drug Design - Oxford, United Kingdom - Vertex
Description
Job Description
General Summary:
We are seeking a highly motivated and experienced computational chemist to join our Computational Drug Design group in Oxford. 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.
Key Duties and Responsibilities:
Knowledge and Skills:
Education and Experience:
In this Hybrid-Eligible role, you can choose to be designated as:
Hybrid: work remotely up to two days per week; or selectOn-Site : work five days per week on-site with ad hoc flexibility.
