AI in Residence, Computational Protein Design

Seattle, WAfull timeOn Site

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$10k–$15k

H1B: no

Xairatherapeutics AI in Residence at Xaira Therapeutics developing and deploying machine learning models for protein and antibody design. The role involves end-to-end project ownership and collaboration with AI and drug discovery teams.

Responsibilities

Develop and advance ML models for protein and antibody design using biophysical data, affinity data, library display data, protein structure datasets, and protein sequence datasets
Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
Own projects end-to-end: problem framing → prototyping → validation → deployment
Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision-making
Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration
You Might Work On
Examples include (not limited to):
Foundation / representation models for protein/antibody structure, sequence and property modeling and prediction
Methods for small, biased, noisy datasets; distribution shift; and uncertainty estimation.
ML systems for experimental prioritization, assay interpretation, or translational signal discovery
Evaluation frameworks and benchmarks tailored to discovery decision-making. Tooling that makes models usable by scientists (interfaces, automation, monitoring)
What Success Looks Like

Qualification

Intellectual independenceStrong research judgment

Required

Strong technical depth in machine learning
Intellectual independence
Strong research judgment
Evidence of delivering high-quality work through publications, open-source, or production systems