Lead computational chemistry and molecular modelling efforts on active drug discovery projects to accelerate the identification and optimisation of drug candidates
Drive structure- and ligand-based molecular design using a range of computational techniques, including docking, molecular dynamics simulations, and free energy calculations
Generate mechanistic insight into protein-ligand interactions to support compound design and prioritisation
Apply AI/ML approaches, where appropriate, to support molecular design, compound prioritisation, and property optimisation
Make timely, data-driven decisions to maintain focus on key project objectives and deliver high-impact outcomes
Collaborate proactively with computational chemists, cheminformaticians, medicinal chemists, structural biologists, DMPK and safety scientists to develop strategy and drive project progression
Evaluate, implement, and communicate new methodologies, workflows, and best practices across teams
Contribute to the enhancement of internal R&D capabilities through cross-functional collaboration
Requirements
Ph.D. (or equivalent) in Computational Chemistry, Chemistry, Biophysics, or a related discipline
Significant relevant experience in small-molecule drug discovery, with a strong track record of impact in structure-based drug design
Deep understanding of protein-ligand interactions and their application to compound design
Hands-on experience with commercial and open-source molecular modelling software, such as Schrödinger, MOE, OpenEye, and workflow/data analysis tools such as KNIME or Pipeline Pilot
Experience applying computational methods such as docking, molecular dynamics, and free energy calculations to support project decisions
Strong motivation, excellent interpersonal, communication, and presentation skills, with the ability to work effectively in cross-functional teams
Desirables:
Relevant postdoctoral and/or industry experience
Track record of impactful publications, patents, and/or contributions to discovery pipeline progression
Scripting or programming experience in Python or similar languages
Experience in advanced Molecular Dynamics simulation methods and/or QM methods in drug discovery
Experience in AI/ML applications for drug discovery, including generative models or ligand/protein co-folding approaches
Flex Designation:
Hybrid-Eligible Or On-Site Eligible
Flex Eligibility Status:
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.
Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time.
#LI-Hybrid
Company Information
Vertex is a global biotechnology company that invests in scientific innovation.
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
Benefits
Remote work options
Additional Information
Job Description
We are seeking a highly motivated and experienced Senior Scientist in Computational Chemistry to join our Computational Drug Design group in Oxford. The successful candidate will play a central role in advancing drug discovery projects through the innovative application of molecular modelling and computational chemistry approaches.
As a key scientific contributor, you will generate and test design hypotheses, help shape project strategy, and work closely with scientists across multiple disciplines to guide the progression of novel compounds from hit identification through candidate nomination. You will be expected to provide clear and high-impact computational insight to guide project direction and decision-making.
In addition to project-facing work, you will contribute to the development of internal molecular modelling capabilities, workflows, and scientific strategy. Success in this role requires strong scientific judgement, excellent communication skills, and the ability to thrive in a highly collaborative, cross-functional environment while fostering a culture of scientific excellence and innovation.
Vertex Pharmaceuticals · Oxford, UK