Computational Chemist / CADD Scientist

Full Time
San Diego, CA
Posted
Job description
Contact: Matt Gendelman
Phone: 267.541.3094


Position Overview

  • Founded in 2019, our client is focused on AI + molecular simulation to develop cutting edge medicines for severe diseases, including many difficult-to-treat cancers and other therapeutic areas
  • Our client originated out of a top AI lab at Stanford (Vijay Pande’s lab) pioneering the fields of deep learning and molecular simulation methods for drug discovery
  • We have a highly experienced leadership team including the Chair of our Board of Directors, Dr. Leonard Bell, who was founder and CEO of Alexion Pharmaceuticals (acquired by Astra Zeneca for $39 billion), and Peppi Prasit, storied chemist from Merck known for Vioxx, Arcoxia, Singulair, who then went on to found Amira Pharmaceuticals, acquired by BMS, and Inception Sciences
  • We were founded in early 2019 and in that short time has signed two partnership deals with major pharmaceutical companies (Eli Lilly and Genentech). Announced in April, 2022, our partnership includes $20M in upfront revenue and $670M in milestones.
  • We have been selected for the Forbes AI 50 for three consecutive years

Job Responsibilities

  • Work directly on multiple small molecule drug discovery programs across a varied target portfolio, including novel targets with little-to-no known chemical matter
  • Utilize off-the-shelf molecular design and simulation tools, as well as custom-built internal tools, to evaluate protein-ligand complexes in 3D
  • Develop structural insights in order to triage small molecule designs output by our ML platform and synthesize those ideas into new, custom molecules
  • Work closely with our software engineering, ML research, and chemistry teams to drive methods development on our ML/MD platform

Job Requirements

  • A deep thinker who reasons from first principles, has a strong attention to detail, and has a fiercely pragmatic approach to drug discovery
  • Comfortable working with one-or-more off-the-shelf tools for structure-based drug design, such as MOE, Pymol, and Schrodinger Suite
  • Several years of experience as a computational chemist / CADD scientist at pharma or biotech, driving real-world drug discovery programs forwards with structural insights

Location(s)

San Diego or San Francisco, CA

If interested, please send a MS Word version of your resume to mgendelman@kleinhersh.com

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