Atomic AI
A Scientist on the Machine Learning team at Atomic AI who will advance the company’s RNA structure prediction and early drug discovery platform. The role partners with engineers and experimental scientists to co-lead development and evaluation of machine learning pipelines and help shape the scientific and strategic direction of the company. The position emphasizes translating research into a production-grade platform and close collaboration with wetlab teams.
Headquarters
South San Francisco, California, United States
Company Size
11-50 employees
Atomic AI is a biotechnology company focused on RNA drug discovery and RNA-centric medicines. It leverages machine learning and structural biology, including its ATOM-1 foundation model for predicting RNA 3D structures, to unlock targets for RNA-targeted small molecules and RNA-based therapeutics. Its proprietary R&D platform combines advanced deep learning with in-house wet-lab assays to accelerate discovery and development in the RNA therapeutics space.
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Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Atomic AI.
Atomic AI Launches with $35 Million Series A Financing to Advance AI-driven RNA Structure Platform for Treating Undruggable Diseases
Jan 25, 2023
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