
Chief Small-Molecule Therapeutic Designer
3 days ago
About Ligand Design
We're building a next-generation AI-driven drug discovery platform that integrates cutting-edge structural modeling, generative design, and reinforcement learning agents to explore the vast chemical space for novel small-molecule therapeutics.
- Lead ligand pose prediction workflows using state-of-the-art AI and computational docking tools (e.g., DiffDock, EquiBind, Glide, GOLD).
- Evaluate protein–ligand binding interactions for fit, contact quality, and structural plausibility.
You will work in close collaboration with a deep learning specialist to combine cutting-edge AI tools with your medicinal chemistry and structure-based design expertise.
This is a strategic role — your primary focus will be to bridge AI outputs with biological and chemical insight, ensuring the most promising designs move forward.
You'll be joining at the frontier of AI-guided drug discovery, working side-by-side with deep learning experts to build 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.
In this role, you'll lead the development of AI-driven drug discovery workflows, leveraging state-of-the-art techniques to identify novel therapeutics. You'll collaborate with a deep learning specialist to integrate AI tools into our platform, driving innovation and efficiency in our search for new medicines.
The ideal candidate will have a strong background in medicinal chemistry and structure-based design, with experience in AI-driven drug discovery or a related field. If you're passionate about harnessing the power of AI to revolutionize drug discovery, we encourage you to apply.
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