At a Glance
- Tasks: Lead innovative drug discovery projects using computational chemistry and molecular modelling.
- Company: Join a pioneering company in drug design based in Oxford.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic, collaborative environment with a focus on scientific excellence.
- Why this job: Make a real impact in drug discovery while collaborating with top scientists.
- Qualifications: Ph.D. in Computational Chemistry or related field with relevant experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities
- 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.
Flexibility
Hybrid‑Eligible or On‑Site Eligible. In this Hybrid‑Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or 2. On‑Site: work five days per week on‑site with ad hoc flexibility. The Flex status for this position is subject to Vertex’s Policy on Flex @ Vertex Program and may be changed at any time.
Equal Employment Opportunity
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 .
Senior Scientist, Computational Chemistry employer: Vertex UK Int'l HQ/R&D
Vertex is an exceptional employer, offering a dynamic and collaborative work environment in Oxford that fosters scientific excellence and innovation. As a Senior Scientist in Computational Chemistry, you will have the opportunity to lead cutting-edge drug discovery projects while benefiting from a culture that prioritises employee growth, flexible working arrangements, and a commitment to diversity and inclusion. With access to state-of-the-art resources and a strong emphasis on cross-functional collaboration, you will be well-positioned to make a significant impact in the field of drug design.
Contact Details:
Vertex UK Int'l HQ/R&D Recruitment Team
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