BioMedical AI Research Engineer (Agentic AI for Drug Discovery) at Xaira Therapeutics
Job Description
Xaira is hiring a BioMedical AI Research Engineer to design and deploy AI agents that reason over biomedical knowledge, plan multi-step analyses and combine literature, omics datasets and clinical records to speed up therapeutic discovery. The ad stresses that this goes beyond standard LLM-plus-retrieval pipelines.
At a glance
- Team: Biomedical AI
- Location: South San Francisco, California
- Pay: $227,000 – $295,000 a year, as listed
- Apply: open until filled (re-checked 14 October 2026)
What you would do
- Design agentic AI systems capable of multi-step reasoning, planning and tool use in biomedical settings
- Build LLM-based agents that retrieve, rank and synthesise knowledge from literature, knowledge graphs, omics and clinical data
- Build memory and feedback mechanisms so agents refine hypotheses as data changes
- Integrate external tools such as analysis pipelines and simulations
Why this role matters
AI agents that can read papers, query databases and run analyses could compress months of scientific work into days. Drug discovery, with its huge literature and messy data, is one of the most valuable places to try this, and Xaira pairs such agents with its own experiments and AI models, giving them real scientific tasks to solve.
What Xaira Therapeutics is looking for
- Experience building LLM-based systems, agents or retrieval pipelines
- Strong software engineering
- Interest in biomedical data and scientific reasoning
Nice to have
- Experience with knowledge graphs or biomedical datasets
Pay and location
Xaira lists $227,000 to $295,000 a year for this role.
How to apply
Apply through the official Xaira Therapeutics job posting. Xaira Therapeutics’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 14 October 2026. Check the posting for location and work-authorisation details before you apply.
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Hiring institution: Xaira Therapeutics
Official advertisement: job-boards.greenhouse.io
How to prepare for this application
- Beyond RAG: show agents that planned and used tools, not only retrieval.
- Evaluation: explain how you measured whether an agent's answers were right.
- Science context: any biomedical project helps.
- Engineering: production-quality agent systems carry weight.
About Xaira Therapeutics
Xaira is a biotech start-up using AI to discover and develop medicines. It builds generative models to design protein and antibody drugs against hard-to-drug targets, and foundation models of biology and disease for target discovery and patient selection. It is based in the San Francisco Bay Area, Seattle and London.
