Lead Computational Scientist - Drug Discovery

About the Role

Our client is seeking a talented and experienced Lead Computational Scientist to drive their computational drug discovery efforts in Nottingham . This leadership role will involve developing and applying computational chemistry, bioinformatics, and machine learning approaches to accelerate the identification and optimization of novel drug candidates. You will collaborate closely with medicinal chemists, biologists, and pharmacologists to integrate computational insights into discovery programs. This is a unique opportunity to shape computational strategy, mentor a team of scientists, and contribute to the development of groundbreaking medicines in a highly collaborative environment within Nottingham .

Key Responsibilities

• Lead the application of computational chemistry, cheminformatics, and bioinformatics tools in drug discovery projects.
• Develop and implement advanced modeling techniques, including molecular docking, virtual screening, and QSAR.
• Utilize machine learning and AI algorithms to analyze biological and chemical data and predict compound properties.
• Collaborate closely with experimental teams to interpret results and guide compound design.
• Manage computational projects, timelines, and resources effectively.
• Mentor junior computational scientists and foster a culture of scientific excellence.

Requirements

• Ph.D. in Computational Chemistry, Cheminformatics, Bioinformatics, Computer Science, or a related field.
• Minimum of 6 years of experience in computational drug discovery or a related area.
• Expertise in computational chemistry software (e.g., Schrodinger, MOE) and molecular modeling techniques.
• Strong programming skills (e.g., Python) and experience with cheminformatics libraries.
• Familiarity with machine learning applications in drug discovery.
• Excellent communication, collaboration, and leadership skills.

Benefits

• Competitive salary and attractive bonus program.
• Comprehensive medical, dental, and vision insurance.
• Generous retirement plan with employer matching.
• Flexible working arrangements and remote options.
• Opportunities for professional growth and contributions to novel therapeutic development in Nottingham .