- 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.
- 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
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Senior Research Scientist, Computational Drug Design - Oxford, Oxfordshire, United Kingdom - Vertex Pharmaceuticals
Description
Senior Research Scientist, Computational Drug Design page is loaded
Senior Research Scientist, Computational Drug Design
Apply locations Oxford, United Kingdom time type Full time posted on Posted 2 Days Ago job requisition id REQ-21907Job 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 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
Help Us Achieve Our Mission
Vertex is a global biotechnology company that invests in scientific innovation to create transformative medicines for people with serious diseases. The company has approved medicines that treat the underlying causes of multiple chronic, life-shortening genetic diseases — cystic fibrosis, sickle cell disease and transfusion-dependent beta thalassemia — and continues to advance clinical and research programs in these diseases. Vertex also has a robust clinical pipeline of investigational therapies across a range of modalities in other serious diseases where it has deep insight into causal human biology, including APOL1-mediated kidney disease, acute and neuropathic pain, type 1 diabetes, myotonic dystrophy type 1 and alpha-1 antitrypsin deficiency .
Founded in 1989 in Cambridge, Mass., Vertex's global headquarters is now located in Boston's Innovation District and its international headquarters is in London. Additionally, the company has research and development sites and commercial offices in North America, Europe, Australia, Latin America and the Middle East. Vertex is consistently recognized as one of the industry's top places to work, including 14 consecutive years on Science magazine's Top Employers list and one of Fortune's 100 Best Companies to Work For. For company updates and to learn more about Vertex's history of innovation, visit or follow us on Facebook , Twitter/X , LinkedIn , YouTube and Instagram .
The diversity and authenticity of our people is part of what makes Vertex unique, and we recognize that each employee brings diverse perspectives and strengths. By embracing those strengths and celebrating differences, we are fostering an inclusive culture where each of us can bring our authentic selves to work, inspire innovation together, and change people's lives.
Our vision is clear: to be the place where an authentic, diverse mix of talent want to come, to stay, and do their best work.
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