The Opportunity Machine learning liesConfidentiale core of insitro-s approach to rethinking drug development. Our team is responsible for the small molecule machine learning platformConfidentialtro, and our responsibilities include design of high:Throughput data generating experiments, design and execution of ML driven solutions for accelerating key problems in the drug discovery space, and creation of APIs and tooling for making the entire process reproducible and faster over time.You will be joining insitro-s first satellite hub that is emerging in Poland. Initially, this role will be based -remote-, and you may work from your home office. As a ML Engineer Chemistry, you will work closely with a:Functional team of computational chemists, cheminformaticians, data scientists, and ML engineers to identify key areas where ML could make an impact, design fit:For:Urpose small molecule datasets that can answer those questions, and build ML models on top of such datasets.Your job will be to deeply dive into creating and understanding molecular and DNA encoded library datasets, defining rigorous data splits, developing novel molecular featurization and modeling recipes, and integrating information from differing sources to deliver production quality ML models that can rapidly accelerate therapeutic programs. You will work as part of a team to solve problems in improving protein:Drug binding affinity whilst avoiding toxicity issues and minimizing off:Target interactions. Along the way, you will learn a broad range of scientific, mathematical, andConfidentialills, receive close mentoring from senior scientists and engineers, guide and mentor junior scientists and engineers, build lasting relationships with your colleagues, and help shape insitro-s culture, strategic direction, and outcomes. Join us, and help make a difference to patientsout You:Expertise in one or more general:Urpose programming languages such as Python, C/C++, or Scala:Demonstrated ility to write high:Quality, production:Ready code readable, well:Tested, with well:Designed APIs:Experience withConfidentialast one high:End ML development environment Tensorflow, Pytorch, Caffe, etc:Experience withConfidentialast one of the cheminformatics toolkits OpenEye/RDKit/Schrodinger suite, etc:ility to communicate effectively and collaborate with people of diverse backgrounds and job functions:Desire to continuously self:Improve and a passion for making a difference in the worldNice to Have:Working knowledge of computational chemistry, including classic QSAR modeling, ligand and structure based drug:Discovery, docking, virtual screening, library design etc:Experience with small molecules and/or DNA encoded library datasets:Working knowledge of statistics and various flavors of statistical modeling techniques:Experience with building and debugging graph convolutional neural networks and generative models:Proficiency in Linux environment including shell scripting, experience with database languages e. G., SQL, No:SQL and experience with version control practices and tools Git, Perforce, etc.:Familiarity with cloud computing services AWS or GCPBenefitsConfidentialtro:Health insurance benefitsGDPRThe Controller of your personal data is Insitro, Inc., with officesConfidentialast Grand Avenue, SouthConfidentialancisco, California, United States. Your personal data is processed for the purposes of the current recruitment process. Providing your personal data is voluntary, but its processing and transfer to the United States by or on behalf of Insitro, Inc. Is necessary for this purpose. You have the right to access, correct, modify, update, rectify, and request the transfer or deletion of your personal data.You hereby consent to Insitro, Inc., with officesConfidentialast Grand Avenue, SouthConfidentialancisco, California, United States, retaining and processing your personal data after the current recruitment process is finished, for the purposes of futur
