AI Scientist - Biomedical Multimodal Modeling

What you'll do

• Develop and train multimodal foundation models spanning image and molecular data.
• Unify representation learning and generative modeling, including cross-modal alignment, prediction, and generation.
• Build scalable systems for data processing, training, and evaluation.

What they ask for

• Strong background in deep learning, especially modern architectures.
• Experience with representation learning and generative modeling.
• Proficiency in Python, ML frameworks, and CI/CD; the posting names PyTorch and JAX as examples.

Nice to have

• Exposure to biological or scientific datasets.
• Experience with paired or partially aligned multimodal data.

Pay

$170,000 - $240,000 annually (base salary)

Tools

Python, PyTorch, JAX, CI/CD

AI focus

Builds foundation models for biological systems using multimodal image and molecular data, combining representation learning and generative modeling to encode, predict, and generate information from partial observations.