Kuano is a startup that is improving drug discovery for enzyme targets by combining quantum and molecular simulations with machine learning. We are looking for an imaginative problem solver to join our interdisciplinary team, who brings deep working knowledge of post Hartree-Fock methods, selection of active spaces, and interest in using these calculations to prepare quantum computing Hamiltonians.
The role will initially involve creating pipelines that execute HF calculations and prepare outputs for use as the basis for investigations employing more advanced methods. The long term focus of the role will be on developing and integrating post-HF methods for use in drug design workflows. The project will involve collaboration with partners involved in quantum computing and quantum inspired methods, and creating a roadmap for the adoption of advanced techniques from the field.
Full time salary will be around £50k. To apply, send your CV to firstname.lastname@example.org.