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Drug Discovery Researcher

Preferred Networks, Inc.

  • Work Location Tokyo
  • Company employee count 101 to 1,000

Job Summary

At PFN's Drug Discovery team, we are especially focused on integrating advanced knowledge in computational science and drug discovery, particularly in the design, exploration, and optimization of pharmaceutical products. We conduct research and development related to the design of pharmaceutical products, deep learning, and medical chemistry, and integrate practical chemical synthesis, machine learning, and physical chemistry simulation to develop new evaluation techniques and methods for the creation and evaluation of new pharmaceutical products. We solve challenging issues related to the development of innovative medical products, and apply the latest research and papers to propose and execute innovative technical developments for practical medical product development, and implement and execute technical exchanges and internal technical exchanges with other teams, and capture the latest technologies in various fields.

Company Info

Preferred Networks Inc. is a Japanese startup company established on March 26, 2014, that focuses on the research and development of deep learning for IoT applications. Its mission is to "Make the real world computable and create the future together." The company advocates for "Edge Heavy Computing," which involves the distributed, collaborative processing of large amounts of data generated by devices at the edge of the network. Preferred Networks develops advanced software and hardware technologies across the entire AI value chain, including AI chips, supercomputers, generative AI foundation models, and solutions for a wide range of industries such as transportation systems, manufacturing, bio-healthcare, personal robotics, and entertainment.

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