Xaira Therapeutics
AI in Residence, Computational Protein Design
Seattle, Washington, United States +1 · Full-time · Posted Aug 20, 2026
- Location
- Seattle, Washington, United States
South San Francisco, California, United States - Experience
- Recent graduates; no specific number of years stated.
- Education
- Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields.
About the job
Develops and deploys machine-learning models and pipelines for computational protein and antibody design in therapeutic discovery workflows.
What you'll do
- Build ML models for protein and antibody design using biological and experimental data.
- Create scalable pipelines for data curation, training, evaluation, and inference, integrated into discovery workflows.
- Own projects from problem framing through deployment, evaluating robustness, reliability, and interpretability.
What they ask for
- Research excellence demonstrated through high-quality publications or research artifacts.
- Ability to lead substantial technical work with originality, rigorous experiments, or production-grade systems adopted by others.
- Motivation to turn rigorous research into reliable, deployable AI systems for therapeutic discovery.
Nice to have
- Publications at venues such as NeurIPS, ICML, ICLR, CVPR, ACL, Nature Methods, or Cell Systems.
- Strong preprints, open-source contributions, or shipped systems with demonstrated impact are valued.
Pay
$10,000–$15,000 per month (compensation; type not specified)
Tools
ML models, protein structure datasets, protein sequence datasets, biophysical data, affinity data, library display data
AI focus
Develops AI models and systems for protein and antibody design and therapeutic discovery.
Model-written summary · the original posting is authoritative