AI Scientist - Biomedical Multimodal Modeling

📋 Description

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

🎯 Requirements

• Deep learning with modern architectures
• Experience with representation learning (self-supervised, contrastive, masked)
• Experience with generative modeling (diffusion, autoregressive, VAEs)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX)

🎁 Benefits

• Open, flexible, and friendly work environment
• Equity and opportunities for career growth
• Summary of Benefits available to all applicants