ComMedX is looking for an Artificial Intelligence (AI) scientists with a strong cheminformatics background. You will be designing and developing cheminformatics algorithms, analyzing massive datasets, and conducting early-stage drug discovery.<\/p>\n\n\n\n
Responsibilities<\/strong><\/p>\n\n\n\n \u2022 Develop high-performance machine learning-based algorithms to assist chemists doing retrosynthesis for small molecules. Qualifications:<\/strong><\/p>\n\n\n\n \u2022 M.Sc\/Ph.D. degree in Computational Chemistry, Organic chemistry, statistics, Cheminformatics, Bioinformatics or a related discipline. The candidates from the top universities or industries worldwide are preferred Preferred:<\/strong><\/p>\n\n\n\n \u2022 Experience in implementing and applying machine learning algorithms in drug discovery projects. Compensation & benefits<\/strong><\/p>\n\n\n\n \u2022 Competitive salary, commensurate with experience If you are interested, please send your resume, brief research background introduction and the contact information of the two referees. Email: hr@compmedchem.com\u3002<\/p>\n","protected":false},"excerpt":{"rendered":" ComMedX is looking for an Artificial Intelligence (AI) scientists with a strong cheminformatics background. You will be designing and developing cheminformatics algorithms, analyzing massive datasets, and conducting early-stage drug discovery. Responsibilities \u2022 Develop high-performance machine learning-based algorithms to assist chemists doing retrosynthesis for small molecules.\u2022 Collect compounds building block information, and develop graph-convolutional neural networks …<\/p>\n
\u2022 Collect compounds building block information, and develop graph-convolutional neural networks or recurrent neural networks to predict the main reaction product and other possible products.
\u2022 Training different deep learning algorithms on large numbers of molecules, such as the ZINC database and the ChEMBL database, to generate new molecules by sampling the learned statistical distribution.
\u2022 Predict the molecular properties (such as bioactivity, toxicity, solubility, absorption, distribution, metabolism and excretion) using machine learning algorithms.
\u2022 Develop new small molecule 3D structure generation and conformation elaboration algorithms.<\/p>\n\n\n\n
\u2022 3+ years\u2019 experience in Artificial Intelligence (AI)
\u2022 Strong written and communication skills in English
\u2022 Strong coding skills in at least one high-level programming language (Python, R, Java, C++, etc)
\u2022Ability to work with independence and drive in a startup environment<\/p>\n\n\n\n
\u2022 The experience of 1-3 years in lead optimization at a pharmaceutical company is preferred.
\u2022 Understanding the fundamentals of biomolecular interactions.
\u2022 Molecular modeling experience is a plus.
\u2022 Experience with Chinese or other language (except English) is preferred.
\u2022 Experience with cloud computing environments (AWS) .<\/p>\n\n\n\n
\u2022 Stock compensation plan \u2013 you\u2019ll be a ComMedX co-owner
\u2022 Health, dental, and vision benefits
\u2022 Funding for professional development and conference attendance
\u2022 Flexible work schedule
\u2022 Rental allowance<\/p>\n\n\n\n