Xaira Therapeutics
AI in Residence
South San Francisco, California, United States · Full-time · Posted Mar 25, 2026
- Education
- Recent MS or PhD (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields.
About the job
Develop and deploy machine-learning models and pipelines that support biological research and therapeutic discovery, from problem framing through validation and integration into discovery workflows.
What you'll do
- Build and advance ML models for biological, preclinical, and translational datasets.
- Design scalable pipelines for data curation, training, evaluation, and inference.
- Lead projects end to end, assessing reliability and supporting their deployment in discovery workflows.
What they ask for
- Technical depth, intellectual independence, and strong research judgment.
- Evidence of delivering high-quality work through publications, open-source contributions, or production systems.
- Ability to lead substantial technical work with originality and rigorous experimentation or engineering.
- Motivation to translate research into reliable, deployable AI systems for therapeutic discovery.
Nice to have
- Recent MS or PhD in ML/AI, computational biology, biomedical engineering, or a related field, or equivalent research experience.
- Publications at top venues, strong preprints, open-source contributions, or shipped systems with demonstrated impact.
Pay
$10,000–$15,000 (monthly compensation; currency not stated)
Tools
ML, AI, multimodal omics, imaging, text, assay data
AI focus
Develop and deploy AI/ML capabilities for biological and translational research, including models and systems that inform therapeutic discovery.
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