AI in Residence: Protein Design & Discovery

Xaira; Seattle (WA); Sur place; USD 112 000 - 167 000; Plein temps

Résumé du poste

Xaira Therapeutics invites applications for AI in Residence, a selective program at the frontier of machine learning and drug discovery in Seattle. You will join a small cohort, collaborating with AI scientists, research engineers, and drug discovery teams to design, build, and ship ML capabilities that directly influence therapeutic programs.

You will work hands-on on system-level projects with real scientific consequences, guided by mentors from AI, engineering, and scientific leadership.

Qualifications

• Recent MS or PhD graduates in ML/AI, computational biology, biomedical engineering, or related fields.
• Evidence of research excellence through high-quality publications or artifacts.
• Demonstrated ability to lead substantial technical work with originality.
• Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery.

Responsabilités

• Develop and advance ML models for protein and antibody design using biophysical and sequence data.
• Design and implement scalable pipelines for data curation, training, evaluation, and inference in discovery workflows.
• Evaluate robustness and interpretability to support scientific decision-making.
• Contribute technical leadership by proposing new directions and raising engineering/research standards.

Formation

MS or PhD graduates in ML/AI, computational biology, biomedical engineering, or related fields

Description du poste

Xaira Therapeutics invites applications for AI in Residence, a selective program at the frontier of machine learning and drug discovery in Seattle. You will join a small cohort, collaborating with AI scientists, research engineers, and drug discovery teams to design, build, and ship ML capabilities that directly influence therapeutic programs.

You will work hands-on on system-level projects with real scientific consequences, guided by mentors from AI, engineering, and scientific leadership.