Lead Computational Chemist

About the Role

Our client is seeking a highly skilled and experienced Lead Computational Chemist to drive innovation in their drug discovery efforts. This position is fully remote, allowing talented individuals to contribute from anywhere within the UK. You will lead the application of computational chemistry techniques to guide medicinal chemistry programs, including molecular modeling, virtual screening, and quantitative structure-activity relationship (QSAR) analysis. The ideal candidate will possess a deep theoretical understanding and practical expertise in applying computational methods to accelerate the design of novel therapeutics, working within a collaborative, digitally-connected team.

Key Responsibilities

• Lead the computational chemistry function, providing strategic direction for molecular modeling and drug design efforts.
• Develop and apply computational techniques such as molecular docking, QM/MM calculations, and molecular dynamics simulations.
• Design and execute virtual screening campaigns to identify novel hit compounds.
• Build and refine QSAR models to predict compound activity and properties.
• Collaborate closely with medicinal chemists, biologists, and pharmacologists to interpret results and guide project strategy.

Requirements

• Ph.D. in Computational Chemistry, Cheminformatics, or a related field.
• Minimum of 7 years of experience in computational chemistry within the pharmaceutical or biotechnology industry.
• Expertise in molecular modeling software (e.g., Schrodinger, MOE, Discovery Studio) and cheminformatics tools.
• Proficiency in programming languages (e.g., Python) for scripting and data analysis.
• Strong understanding of medicinal chemistry principles and drug discovery processes.

Benefits

• Highly competitive salary and comprehensive benefits package.
• Fully remote working opportunity with flexible hours.
• Generous budget for professional development and conference participation.
• Opportunity to significantly impact drug discovery programs with cutting-edge computational tools.
• A forward-thinking and collaborative research culture.