We are partnered with a leading biotechnology company that is rapidly advancing the drug discovery pipeline. This company’s mission is to design innovative drug candidates faster, for a range of critical diseases using cutting-edge technology that combines physics, statistics, and AI.

About the Team

The team focuses on scalable and reproducible drug discovery using advanced machine learning algorithms. You are essential to this mission, selecting molecules for synthesis based on data-driven hypotheses and overseeing projects from early stages to pre-clinical phases. You will work with a multidisciplinary team including machine learning engineers, project managers, medicinal chemists, and physicists.

Responsibilities

• Design and generate small molecules targeting specific therapeutic areas.
• Optimise efficacy and safety properties based on experimental results.
• Present findings concisely to internal and external stakeholders with data-driven conclusions.
• Apply and test the company’s technologies and workflows, including AI algorithms, property prediction models, and molecular dynamics techniques.
• Develop chemistry plans with CROs, prioritizing promising compounds.
• Provide feedback to improve the technology platform.
• Advocate for new approaches to advance projects and enhance platform accuracy and scalability.
• Collaborate with the interdisciplinary team to refine platform technology.
• Mentoring junior Drug Hunters.

Required Skills

• Holds a Ph.D. and post-doctoral experience with a strong publication track record.
• Preferably listed as an inventor on patents.
• Proficient in computational techniques for drug discovery like virtual screening, molecular docking, etc.
• Extensive knowledge of protein structures and interactions.
• Familiarity with computational chemistry packages: RDKIT, OpenMM, GROMACS, etc.
• Skilled in small molecule ligand discovery and cheminformatics techniques.
• Object-oriented programmer comfortable in Linux/UNIX environments.
• Intermediate to advanced Python programming proficiency.