• Cheminformatician / Computational chemist

    Vancouver, Bc (Or Remote) / 2+ Yrs Experience / Full Time

    We are looking for experienced cheminformaticians to join the team and make an impact. You will help us to develop and apply molecular docking, molecular dynamics, and binding free energy calculation methods; build QSAR models; construct datasets from commercial and public sources; and evaluate ML-optimized molecules from a medicinal chemistry perspective. You will also help…

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At Variational AI we are guided by trying to answer the question: how many life-saving blockbuster drugs exist in chemical space just waiting to be discovered?

But finding the right molecules that could become drugs is impossible using the screening and brute-force methods the drug industry uses today. Chemical space is simply too vast. Our answer is to leverage a powerful new form of machine learning known as generative AI to free us from reliance on screening and libraries, both experimental and virtual, to generate de novo molecules with all the optimized properties to discover efficacious, safe, and synthesizable small molecule therapeutics in a fraction of the time and cost as the status quo.

Our answer is not screen molecules, but to create them. We have built a platform to do this called Enki, and we are starting with oncology.