
Molecular Therapeutic Designer
1 week ago
\Role Overview
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This role focuses on bridging AI-driven insights with biological and chemical knowledge to identify novel small-molecule therapeutics.
\\Key Responsibilities
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- Evaluate protein–ligand binding interactions for fit, contact quality, and structural plausibility.\
- Collaborate with AI/deep learning engineers to refine de novo molecular generation strategies using cutting-edge computational tools.\
- Apply drug-likeness, ADMET, novelty, and selectivity criteria to prioritize compound candidates.\
- Develop and lead ligand pose prediction workflows using state-of-the-art AI and computational docking tools.\
- Work in close partnership with deep learning specialists to combine AI-driven insights with medicinal chemistry expertise.\
- Lead the design of novel small-molecule therapeutics through the integration of AI-driven insights and chemical intuition.\
- Prioritize compounds for synthesis/testing based on their potential to bind to target proteins.\
- Evaluate the efficacy of novel compounds in various biochemical assays.\
- Collaborate with cross-functional teams to optimize the development of novel therapeutics.\\(ul>
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You will be working at the forefront of AI-guided drug discovery, contributing to the development of a platform capable of efficiently searching through 10^60 chemical possibilities. Your expertise will directly shape the quality and novelty of our candidate compounds, accelerating the path from target to therapy.
\\About Us
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We are a pioneering organization building a next-generation AI-driven drug discovery platform that integrates state-of-the-art structural modeling, generative design, and reinforcement learning agents to explore the vast chemical space for novel small-molecule therapeutics.
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