Teams at Xaira Therapeutics

Develop and deploy scalable, production-ready AI and machine learning models for protein, antibody, and broader drug discovery. Collaborate with AI scientists, engineers, and drug discovery experts to translate research concepts into robust systems, support large-scale model training, and deliver measurable impact in life sciences and healthcare.

Develop and execute ligand-binding and flow cytometry assays supporting PK, PD, receptor occupancy, and target engagement studies for biologic programs. The role includes assay development, qualification, and validation; analysis of NHP and rodent samples; DMPK and bioanalytical study support; data interpretation and documentation; and presentation of findings to internal teams and external CROs.

Develop and apply deep learning models for protein and antibody structure, sequence, and property modeling. Train and evaluate GPU-based models using PyTorch, contribute to computational protein design research, analyze biological and biophysical datasets, document findings, and communicate progress with interdisciplinary scientists and engineers.