Xaira Therapeutics

Xaira Therapeutics

AI Scientist - Biomedical Multimodal Modeling

South San Francisco, California, United States

Sponsorship not specified$170k-$240kDetected 162 days ago
PythonCI/CDMachine LearningDeep LearningPyTorchLLMsResearch

Stay score

odds of building a lasting career here

56Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role72
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

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

Level II · 2×
Level I$100,4221 entry
Level II$137,7792 entries
Level III$175,1363 entries
Level IV$212,4934 entries

$5,136 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.

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

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.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Our approach combines representation learning and generative modeling to capture structure, variation, and latent organization in high-dimensional settings.
  • We work with both image-based data and high-dimensional molecular (omics) measurements, treating them as complementary views of the same underlying system.

Responsibilities

  • Develop multimodal foundation models spanning image and molecular data
  • Build scalable systems for data processing, training, and evaluation
  • Our goal to build a diverse and inclusive team began on day one, and it will never end.

Requirements

  • Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
  • Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)
  • Experience with image data, molecular / omics-like data, or both
  • Familiarity with large-scale training
  • Experience with paired or partially aligned multimodal data

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.

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 $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Benefits

  • Design approaches that unify representation learning and generative modeling
  • Strong background in deep learning, especially in modern architecture
  • Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
  • Work on multimodal learning or cross-domain representation learning
  • A Summary of Benefits is available for all applicants.

Company info

  • We are building foundation models for biological systems, focusing on learning from complex, multimodal data.
  • What We're Looking For

This listing is sourced directly from Xaira Therapeutics's careers page and normalized into a canonical job model.