Senior Research Scientist, Computational Drug Design
Vertex Pharmaceuticals
Senior Research Scientist, Computational Drug Design
Salary Not Specified
Vertex Pharmaceuticals, Oxford
- Full time
- Permanent
- Remote working
Posted 2 weeks ago, 4 May | Get your application in now before you miss out!
Closing date: Closing date not specified
job Ref: fd56bd45154643e5859869b415239e04
Full Job Description
- 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 this Hybrid-Eligible role, you can choose to be designated as:
- 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.
- Minimum of 2-4 years of 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
Hybrid: work remotely up to two days per week; or select On-Site: work five days per week on-site with ad hoc flexibility.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.
Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com.
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.,