Xaira Therapeutics
AI in Residence
South San Francisco, California, United States · Senior
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About the role
- About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
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
- Rigor: careful experimental design, ablations, error analysis, and honest reporting
- Collaborative execution with scientific and engineering partners
- Mentorship & Support
Nice to have
- Dedicated technical mentor, plus structured feedback from senior AI, engineering, and scientific leadership
Skills
- About Xaira Therapeutics
- Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development.
- Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development.
- Xaira is headquartered in the San Francisco Bay Area, Seattle, and London.
- AI in Residence
- Residents join a small cohort working on high-impact AI efforts across Xaira.
- This is hands-on, system-level work with real scientific consequence.
Compensation
- The expected monthly compensation range is $10,000-$15,000, depending on experience and qualifications.
- We are open to higher compensation for candidates with exceptional experience or impact.
Benefits
- You leave behind maintainable systems (tests, documentation, monitoring) that others can build on
Company info
- We're looking for candidates with technical depth, intellectual independence, strong research judgment, and evidence of delivering high-quality work-whether through publications, open-source, or production systems.
This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.