6 months ago

AI Scientist, BioMedical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

AI Scientist to develop and apply foundation models for perturb-seq and single-cell data, building scalable ML architectures and multi-omic integration to uncover biological mechanisms. Collaborates with experimental biologists to align computational methods with discovery goals, and aims to publish methods/results in top journals while advancing foundation models for biology.

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key 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 ML/AI 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 top scientific journals and present at conferences.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

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

Experience:BiotechBiomedical AISingle-cell sequencingDrug discovery

Education:PhD / Doctorate

Skills:CollaborationCommunicationTeamworkProblem-solvingAttention to detail

Languages:English

Tech Stack:PythonPyTorchTensorFlowScanpySeuratTransformersVariational autoencoders

Company Brief

Xaira Therapeutics

Xaira Therapeutics is a biotechnology company developing novel targeted therapeutics using proprietary discovery platforms to address serious unmet medical needs. The company focuses on advancing preclinical and clinical-stage programs toward regulatory approval and commercialization.

Industry: Biotech

Website

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Xaira Therapeutics

6 months ago

AI Scientist, BioMedical AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: United States

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Key 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 ML/AI 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 top scientific journals and present at conferences.

Pay and Benefits

Equity and Bonus:Equity

Perks:Annual BonusEquity

Key Requirements

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

Experience:BiotechBiomedical AISingle-cell sequencingDrug discovery

Education:PhD / Doctorate

Skills:CollaborationCommunicationTeamworkProblem-solvingAttention to detail

Languages:English

Tech Stack:PythonPyTorchTensorFlowScanpySeuratTransformersVariational autoencoders

Company Brief

Xaira Therapeutics

Industry: Biotech

Website