Xaira Therapeutics

Xaira Therapeutics

BioMedical AI Research Engineer

South San Francisco, California, United States

Sponsorship not specified$190k-$280kDetected 162 days ago
PythonMachine LearningTensorFlowPyTorchLLMsRAGAgentic AIAI OrchestrationBioinformaticsResearch

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 III · 3×
Level I$100,4221 entry
Level II$137,7792 entries
Level III$175,1363 entries
Level IV$212,4934 entries

$22,493 more — $212,493 — moves this role to Level IV and 4 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 $212,493 would place this position at wage Level IV. 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

  • This role goes beyond traditional LLM + RAG pipelines.
  • Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.

Responsibilities

  • Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
  • Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
  • Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
  • Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
  • You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.
  • 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 hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
  • Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
  • Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).
  • Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
  • Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
  • Preferred
  • Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
  • Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
  • Understanding of privacy, security, and regulatory considerations in healthcare AI.

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.
  • Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.

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 $190,000 - $280,000 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.

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