We are seeking a motivated researcher with a strong computational chemistry/drug design background and a keen interest in applying AI-driven methods to accelerate drug discovery. As a member of our Algorithms Team, you will work on developing and refining cutting-edge AI solutions for the design of novel therapeutics.
Tasks and Responsibilities:
Design and implement computational chemistry algorithms to evaluate binding affinity and guide structure-based drug design.
Design and optimize AI-driven models to streamline the drug discovery process.
Collaborate with cross-functional teams to integrate AI solutions into research workflows.
Execute research projects utilizing developed tools.
Tasks and Responsibilities:
Design and implement computational chemistry algorithms to evaluate binding affinity and guide structure-based drug design.
Design and optimize AI-driven models to streamline the drug discovery process.
Collaborate with cross-functional teams to integrate AI solutions into research workflows.
Execute research projects utilizing developed tools.
Requirements:
PhD in Computational Chemistry, Chemical Physics, or related discipline.
Solid foundation in molecular modeling, simulation software, and drug design.
Proficiency in Python.
Hands-on experience with machine learning/deep learning tools and frameworks, especially as applied to drug discovery or property predictions.
Excellent communication skills to explain complex technical concepts and project details clearly and effectively across multidisciplinary teams.
PhD in Computational Chemistry, Chemical Physics, or related discipline.
Solid foundation in molecular modeling, simulation software, and drug design.
Proficiency in Python.
Hands-on experience with machine learning/deep learning tools and frameworks, especially as applied to drug discovery or property predictions.
Excellent communication skills to explain complex technical concepts and project details clearly and effectively across multidisciplinary teams.
This position is open to all candidates.