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Xaira Therapeutics

AI-powered protein design for therapeutics

AI Scientist - Biomedical AI

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeSouth San Francisco, CA, USAIn-person

About the Job

Requirements

  • A PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or a related discipline.
  • Strong expertise in single-cell data analysis, particularly perturb-seq.
  • Hands-on experience with foundation models or large-scale self-supervised learning, such as transformers and variational autoencoders.
  • Strong coding skills in Python, machine learning frameworks such as PyTorch or TensorFlow, and single-cell analysis tools such as Scanpy and Seurat.
  • Experience developing scalable machine learning methods for large biological datasets.

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.
  • Apply machine learning and artificial intelligence approaches to model cellular responses to perturbations and identify causal biological insights.
  • 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.
  • Publish methods and results in scientific journals and present at conferences.

Desired Qualifications

  • Background in causal inference, generative models, or representation learning for biological systems.
  • Familiarity with multi-omics integration and cross-modal foundation models.
  • Track record of impactful publications in computational biology, machine learning, or related fields.

About the Company

Xaira Therapeutics

AI-powered protein design for therapeutics

Xaira Therapeutics uses artificial intelligence to transform drug discovery and development. It builds a pipeline of protein- and antibody-based therapeutics by combining generative AI models from the IPD lab (notably RFdiffusion and RFantibody) with large, multidimensional biological data. The company designs novel proteins and antibodies from scratch to target difficult, previously undruggable biology, then validates and evolves these molecules through iterative data generation that improves its biological foundation models. Unlike many entrants that offer research services, Xaira aims to own and advance its own therapeutic pipeline across multiple modalities, rather than solely providing platforms. The goal is to deliver effective new medicines faster and with a lower chance of failure by integrating AI-driven design, expansive data, and expert leadership.

Company size
201-500
Company stage
Late Stage VC
Total funding
$1B
Headquarters
South San Francisco, CA
Founded
2023

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