About the role
About Superluminal Medicines: Superluminal Medicines is a generative biology and chemistry company revolutionizing the speed and accuracy of how small molecule medicines are created. The Company’s platform aims to create candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. We are expanding
the team of talented scientists who seek to build the future of small molecule drug discovery with creativity and innovation.
About
the Role: We are seeking a high-impact Computational Chemist to join our integrated discovery team. In this role, you will be the computational engine of our programs, combining physics-based modeling, machine learning and structural biology to generate the quantitative predictions and develop necessary workflows to drive small molecule drug discovery. You will serve as a core strategic partner to medicinal chemists and biologists, focusing on compound design and tool development to impact discovery pipeline and address unmet computational needs. Key
Responsibilities: Integrate physics-based simulations with ML predictions to achieve the quantitative accuracy required to prioritize compounds for synthesis Collaborate with a team of interdisciplinary scientists to develop actionable hypotheses and design computational experiments Design and prioritize chemical matter specifically aimed at hitting key program milestones, such as establishing in vivo POC, achieving selectivity windows, or optimizing ADMET profiles for candidate selection Develop, validate and deploy computational workflows to optimize the "Design-Make-Test-Analyze" cycles and address gaps Required
Qualifications: Ph.D. in Computational Chemistry, Biophysics, or a related field 1-3+ years of experience in a biotech or pharma setting performing computational support for small molecule drug discovery Advanced knowledge of physics-based and ML computational chemistry packages including knowing when and how to deploy various tools for maximum project impact Exceptional ability to communicate the "why" behind a design to a diverse scientific audience Design experience working in concert with medicinal chemistry teams to design synthesizable compounds that efficiently work towards defined goals of activity, affinity, selectivity, properties, etc A proven track record for innovation in structure-based small molecule drug discovery including developing and validating new workflows and techniques or expansions of existing ones Preferred
