AI in Residence

South San Francisco, CAfull time

On Site

$10k–$15k

H1B: no

Xairatherapeutics AI in Residence at Xaira Therapeutics developing and advancing machine learning models for biological and translational datasets. Own projects end-to-end from problem framing to deployment in drug discovery workflows.

Responsibilities

Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
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 over multimodal biological and translational data
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)

Qualification

Technical depth in machine learningIntellectual independenceStrong research judgment

Required

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

Company

Xairatherapeutics

View company page

Source: greenhouse

Active within the past hour

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Must-Have Skills for This Role

Machine LearningMultimodal OmicsImagingText DataAssay DataData Curation

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