At QuanMol, we are dedicated to developing next-generation physics-informed deep learning techniques that provide real-time access to molecular insights for medicinal chemists. Constantly hiring experts in related fields to join our team of great diversity, immense creativity, and a shared vision of revolutionizing pharmaceutical developments. We have formed research and development teams, and established partnerships with companies and universities such as Stanford, Berkeley, and Yale, to continue to push the boundaries of what is possible in the field of molecular design.
Our company, Quanmol Technology, was founded in 2021 by a team of founders from UC Berkeley, Caltech, Peking University, and Tsinghua University with the goal of building a new generation of interactive molecular design platforms through machine learning. With over 10 million dollars in funding, we are focusing on the interaction of functional organic molecules with biomacromolecules and developing our proprietary QuanMol ReDefine platform. In the proof-of-concept phase, our molecular property prediction engine has achieved chemical precision (1kcal/mol) in many tasks, and we believe that our technology will have a significant impact on R&D efforts across industries. We have formed dozens of research and development teams to develop models and algorithms and established partnerships with companies and universities such as Stanford, Berkeley, and Yale. We are actively recruiting part-time/full-time and collaborative scientists and engineers in artificial intelligence and computational chemistry to join our team.
Machine Learning Engineer
What you’ll do: * Build cutting edge technology using the latest advances in deep learning to improve QuanMol Redefine performance * Partner closely with top-notch computational chemistry team to build an understanding of scientific data and apply machine learning methods to practical problems * Wrap the algorithms into micro-services and gain experiences in product backend serving * Work in a high-impact environment with quick implementations and product launches What we’re looking for: * Currently a student in B.S., M.S. or PhD program in related areas, or already gained M.S. or PhD degree * Proficient in Python, PyTorch * Relevant experiences in deep learning / GNN / NLP / computer vision / other biology or chemistry related AI4Science applications Nice to have: * Publications in related areas are preferred * Passion for applying machine learning to drug design
Computational Chemistry Engineer
What you’ll do: * Work closely with AI professionals and software engineers to develop new computational chemistry methods and the interfaces thereof to deep learning * Optimize codes for large-scale high-performance calculations * Interact with domain experts of a wide spectrum, ranging from cutting-edge researchers in machine learning to industrial KOLs in pharmaceutical developments, synthetic biology What we’re looking for: * Currently a student in B.S., M.S. or PhD program in related areas, or already gained M.S. or PhD degree * Proficient in Python * Relevant experiences in computational chemistry / computational chemistry biology (e.g. Rosetta, molecular docking, molecular dynamics, enhanced sampling, etc.) / machine learning and informatics for organic molecular or protein systems (e.g. AlpfaFold, RDKit, De novo molecular design, etc.) / force field development for organic molecules or proteins / molecular visualization and related front-end development Nice to have: * Publications in related areas are preferred * Familiarity with PyTorch, RDKit, JAX and other related frameworks
Full-time: we provide competitive salary. Intern: we offer salary for both part-time and full-time interns.
Place of work
San Francisco or remote.
Please send your resume to connect @quanmol.com, we look forward to your participation!