Senior AI Molecular Generation Scientist / Lead - (Princeton)

Overview : We seek an expert in Generative AI to lead our molecular generation initiatives. You will architect and implement state-of-the-art generative models for de novo drug design, driving the creation of novel therapeutic compounds.

Location : Shanghai

Key Responsibilities :

Lead the strategy and development of novel generative AI models (e.g., Diffusion, GANs, etc).

Conduct pioneering research in conditional generation and multi-objective molecular optimization.

Hands-on coding, training, and scaling of complex models to production-ready standards.

Act as a technical leader, collaborating deeply with chemistry and biology teams.

Mentor junior scientists and contribute to high-impact publications.

Qualifications (Required) :

PhD in Computer Science, Computational Chemistry, or a related field.

Industry experience developing AI / ML models on molecular generation.

Deep, hands-on expertise in generative models (e.g., Diffusion, GANs, VAEs, RL) and Graph Neural Networks (GNNs).

Expert-level proficiency in Python, PyTorch / TensorFlow, and software engineering best practices.

Strong understanding of medicinal chemistry principles and proficiency with RDKit.

Proven leadership, project management, and scientific communication skills.