Description

In this role, you will lead the design of innovative small molecule therapeutics, guiding complex projects from discovery to candidate selection. You will also mentor a high-performing team and integrate cutting-edge AI into drug discovery processes.

Requirements

• •PhD in Computational Chemistry, Medicinal Chemistry, Synthetic Chemistry, or related field
• •8+ years’ professional experience in pharma, biotech, or CRO environment
• •Proven experience leading computational chemistry strategy and execution
• •Strong expertise in virtual screening and drug design using physics-based and AI/ML methods
• •Proven track record of developing QSAR models using ML or deep learning methods
• •Expertise in writing and implementing Python scripts for analysis and tool development
• •Strong knowledge of medicinal chemistry principles including ADMET and DMPK
• •Knowledge of modalities such as PROTACs, molecular glues, PPI inhibitors or ADCs
• •Genuine passion for applying AI/ML to drug design
• •Demonstrated success managing external collaborations and working in cross-functional environments
• •Growth mindset, adaptability, and eagerness to learn new concepts and techniques
• •Prior experience leveraging machine learning and generative AI methods for hit finding and molecular design
• •Prior experience of leading drug discovery programs
• •Track record of authorship of relevant scientific manuscripts

Tasks

• •Define the scientific and technical direction for small molecule therapeutic programs
• •Oversee external collaborations with CROs and lead drug discovery programs
• •Establish principles for integrating AI/ML into computational chemistry workflows
• •Mentor and guide team members to foster a culture of scientific excellence
• •Apply AI-first approaches to direct and execute drug design programs

Tools & Technologies