A computational drug discovery platform powered by quantum mechanics. Delivering better predictions, unprecedented receptor-ligand insights, and the opportunity to crack challenging targets.

Project Role: Physics-based, AI-enhanced computational drug design

QDX Technologies is on a mission to transform the field of computational drug design. Our innovative approach combines molecular modelling, quantum chemistry, cheminformatics, machine learning (ML) and generative artificial intelligence (AI) to develop cutting-edge solutions that accelerate and optimise drug discovery.

The trainee will play a pivotal role in developing and implementing our computational chemistry pipeline, with a focus on tackling real-world drug design challenges faced by pharmaceutical companies.

Key Responsibilities:

1. Developing, implementing and benchmarking computational chemistry workflows: Leveraging advanced molecular modelling, quantum chemistry and cheminformatics to develop workflows that are generally applicable to a range of drug discovery problems. Candidates with backgrounds in physics, chemistry and/or biology can leverage their previous experience.
2. Innovating with AI: Designing and implementing ML-driven methods, including generative AI techniques, that are seeing more widespread use in computational chemistry.
3. Client-focused problem solving: Collaborating with external clients to understand their drug design challenges, then translate these into computationally actionable problems. Candidates will have a first-hand experience in solving real-world drug discovery problems.