AI Scientist - Biomedical Multimodal Modeling

Xaira is an AI-driven biotech developing generative AI models to design protein and antibody therapeutics, plus foundation models for biology and disease. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.

About the Role

We are building foundation models for biological systems, focusing on learning from complex, multimodal data. Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings. We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system. Our goal is to develop models that can both encode rich representations and generate or infer missing aspects from partial observations.

What You'll Do

• 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.

What We're Looking For

• Strong background in deep learning, especially in modern architectures.
• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.).
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches).
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.).

Relevant Experience

• Work on multimodal learning or cross-domain representation learning.
• Experience with image data, molecular / omics-like data, or both.
• Familiarity with large-scale training.

Bonus

• Exposure to biological or scientific datasets.
• Experience with paired or partially aligned multimodal data.
• Comfortable working in open-ended, evolving problem spaces.

Compensation: The base pay range for this position is expected to be $170,000 - $240,000 annually; the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. The package also includes bonus and equity.