AI Scientist - Biomedical Multimodal Modeling

The role

You will build foundation models for biological systems that learn from complex, multimodal data. The work combines representation learning and generative modeling across image-based and high-dimensional molecular (omics) data.

What you will 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

Required qualifications

• Strong background in deep learning, especially in modern architecture
• 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.)
• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

Nice to have

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

Benefits

• Competitive compensation and benefits package
• Base salary, bonus, and equity
• Open, flexible, and friendly work environment
• Platform to develop long-term careers
• Summary of Benefits available for all applicants

Before you apply

• Xaira Therapeutics does not accept agency resumes

About the company

Xaira is a biotech startup using AI to transform drug discovery and development, including generative AI models for protein and antibody therapeutics. It is headquartered in the San Francisco Bay Area, Seattle, and London.