Xaira Therapeutics
AI Scientist, BioMedical AI
South San Francisco, California, United States
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$25,136 more — $175,136 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $175,136 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Computer and Information Research Scientists" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Computer and Information Research Scientists (15-1221) · San Francisco-Oakland-Fremont, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology.
- Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
- Publish methods and results in top scientific journals and present at conferences.
Responsibilities
- Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
- Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
- Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
- Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
- You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.
- Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.
- Our goal to build a diverse and inclusive team began on day one, and it will never end.
Requirements
- Strong expertise in single-cell data analysis, particularly perturb-seq
- Familiarity with multi-omics integration and cross-modal foundation models.
- PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
- Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
- Experience in developing scalable ML methods for large biological datasets.
- Preferred
- Background in causal inference, generative models, or representation learning for biological systems.
- Track record of impactful publications in computational biology, machine learning, or related fields.
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.
- Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
Compensation
- We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers.
- We offer a competitive package that includes base salary, bonus, and equity.
- The base pay range for this position is expected to be $150,000 - $240,000 annually
- however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.
Benefits
- A Summary of Benefits is available for all applicants.
Company info
- About the Role We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology.
This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.