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We seek a highly motivated and experienced Computational Chemist to join our Computational Drug Design group in Oxford. The successful candidate will play a central role in driving drug discovery projects through the innovative application of molecular modelling and computational chemistry methods. As a key scientific contributor you will generate and test design hypotheses develop project strategies and work closely with Scientists across multiple disciplines to guide the progression of novel compounds from hit identification through to candidate nomination. In addition to project work you will have the opportunity to contribute to developing internal molecular modelling capabilities workflows and strategy. Success in this role requires strong interpersonal and communication skills. You will operate in highly collaborative crossfunctional teams and help foster a culture of scientific excellence and innovation.
Responsibilities:
Lead molecular modelling effort on active Drug Discovery projects to accelerate the discovery and development of drug candidates.
Drive structure and ligandbased molecular design by leveraging a range of computational techniques including docking MD simulations and free energy calculations.
Apply AI/ML approaches to design new chemical entities with optimal property profiles.
Use timely decisionmaking to ensure focus and delivery of key project objectives promoting a culture of high productivity and urgency.
Proactively work with other computational chemists and cheminformaticians to evaluate and implement new methodologies develop workflows and share best practices across teams.
Seek opportunities to enhance internal R&D capabilities by working across functional boundaries with teams such as Structural Biology DMPK Safety Assessment and others.
Essential Requirements:
Highly motivated selfdirected individuals qualified with a Ph.D. (or equivalent) in Computational Chemistry or a related discipline.
Deep understanding of Drug Discovery and proven track record in small molecules SBDD
Comprehensive familiarity with proteinligand molecular interactions
Experience with commercial and opensource molecular modelling software (e.g. Schrodinger MOE OpenEye etc) and data mining software (eg Knime PipelinePilot)
Track record of applying free energy calculations (e.g. FEP ABFE) to drug discovery
Excellent interpersonal communication and presentation skills
Desirables:
A minimum of 2 years of postdoctoral experience.
A track record of impactful publications patents and contributions to pipeline success.
Scripting and programming expertise in languages such as Python
Previous experience in advanced Molecular Dynamics simulations and Quantum Mechanics methods in drug discovery
Previous experience in Generative AI and other AI/ML applications in drug discovery
#LISG1; #LIhybrid
Flex Designation:
HybridEligible Or OnSite EligibleFlex Eligibility Status:
In this HybridEligible role you can choose to be designated as:
1. Hybrid: work remotely up to two days per week; or select
2. OnSite: work five days per week onsite with ad hoc flexibility.
Note: The Flex status for this position is subject to Vertexs Policy on Flex @ Vertex Program and may be changed at any time.
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
Vertex is committed to equal employment opportunity and nondiscrimination for all employees and qualified applicants without regard to a persons 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 EVerify 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
Required Experience:
Senior IC
Full-Time