Generative AI

About the Role

We are seeking a highly motivated PhD researcher for a postdoctoral position focused on developing generative models for structure-based drug design. The postdoc will work at the intersection of deep generative modeling, differential geometry, and computational chemistry.

Core Responsibilities

• Investigate, implement, and develop state-of-the-art generative techniques (diffusion, flow-matching, stochastic interpolants, etc.) for generative modelling of small molecules.
• Benchmark and compare model performance with previous approaches.
• Collaborate with interdisciplinary teams.
• Contribute to publications and presentations.

About You

• PhD candidate in Computer Science, Machine Learning, Computational Chemistry, or a related field.
• Strong background in generative modeling and geometric deep learning.
• Proficiency in deep learning frameworks (PyTorch, JAX, TensorFlow).
• Strong programming skills and experience with large-scale computational experiments.

Nice-to-haves

• Familiarity with quantum chemistry methods.
• Prior work in AI-driven drug discovery and molecular optimization.
• Publication record in top-tier conferences/journals

Details

• Start date: Year-round, on a rolling basis
• Duration: 1–3 years
• Location: Remote

The US base salary range for this full-time position is expected to be $115k - $135k per year. Our salary ranges are determined by role and level. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.