Molecular Machine Learning Engineer

ph3Molecular Machine Learning Engineer /h3h3About InVirtuoLabs /h3pbAt InVirtuoLabs /b, we are revolutionizing drug discovery through the power of artificial intelligence and computational science. Our mission is to transform one of healthcare's greatest challenges: bringing life-saving medicines to patients faster, more affordably, and with higher success rates. /ppTraditional drug discovery is expensive, slow, and often unsuccessful. We're changing that paradigm by building a unified, AI-driven platform that combines cutting-edge generative models, physics-based simulations, and pharmaceutical expertise. At its core is InVirtuoGEN, our state-of-the-art generative model for chemistry, which outperforms every competing system benchmarked to date. Like finding the perfect key for a lock, we identify and design molecular solutions that precisely target disease-causing proteins, and we do it with unprecedented speed and accuracy. /ppFounded in Lugano in 2024 by a multidisciplinary team of experts, InVirtuoLabs has already launched its drug discovery platform, powered by the world's most advanced foundational model for chemistry. InVirtuoLabs is also advancing multiple drug discovery programs, including active co-development partnerships with pharmaceutical companies. As a rapidly growing team working with biotech and pharma partners globally, we are not just building technology; we are redefining how medicines are discovered and developed. /ppJoin us in shaping the future of medicine through bold, interdisciplinary innovation. /ph3The Opportunity /h3pbWe are seeking a Molecular Machine Learning Engineer /bto join us in Lugano, Switzerland. /ppThe bMolecular Machine Learning Engineer /bis expected to extend our ongoing research on the development and application of novel data driven algorithms for drug design. This is an exciting opportunity to work at the intersection of cutting-edge AI technology and pharmaceutical science, contributing directly to the future of medicine. /ph3Your Responsibilities: /h3ullibDevelop, implement, and apply novel machine learning methods for drug discovery /b /lilibActively participate in collaborative drug design projects with pharma partners /b /lilibContribute to the advancement of our AI-driven discovery platform /b /lilibSupport the delivery of computational services to early partners /b /li /ulh3Your Profile: /h3ullibPhD in Informatics, Chemistry, Physics, Engineering, or related fields /b /lilibAt least 1-2 years of PostDoc or industry experience in Computational Drug Design /b /lilibPublication track record in relevant top-tier academic journals or ML conferences (e.g., NeurIPS, ICML, JCTC, JCP, JACS, etc) /b /lilibStrong foundation in target- and ligand-based drug design /b /lilibProficiency with standard computational chemistry/cheminformatics packages (RDKit and others) /b /lilibExperience with computational workflows (virtual screening, compound library design) /b /lilibGood programming skills and experience with machine learning frameworks (e.g., PyTorch, TensorFlow, JAX) for generative modeling, property prediction, or molecular representation learning /b /li /ulh3Personal Qualities: /h3ullibFluent verbal and written communication skills in English /b /lilibHighly motivated, interactive team player /b /lilibDemonstrated ability to work effectively in cross-functional teams /b /lilibStrong interpersonal skills /b /li /ulh3What We Offer /h3pbImpactful Work: /b Opportunity to work with and develop emerging technologies in Computational Drug Design and Computational Chemistry /ppbInnovative Environment: /b Be part of a team that integrates AI, generative chemistry, and physics-based simulations in novel ways /ppbCollaborative Culture: /b International and collaborative environment where teamwork and mutual support are core values /ppbGrowth Opportunity: /b Join a rapidly expanding startup at an exciting stage of development to be part of the upside growth potential /ppbStrategic Position /b: Work directly on projects that advance both proprietary drug discovery programs and partner collaborations /ph3Why Join Us? /h3pbAt InVirtuoLabs, you'll be part of a community that believes in the power of interdisciplinary thinking and collaboration. We're not just building technology. We're solving problems that matter deeply to the future of healthcare. Our team supports each other through challenges and celebrates breakthroughs together. If you're passionate about using computational science and AI to transform drug discovery, we'd love to hear from you. /b /p /p #J-18808-Ljbffr