4 months ago

AI in Residence

✓ 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 in Residence is a hands-on, system-level program at the intersection of frontier ML and drug discovery. You’ll design, build, and ship ML capabilities that influence therapeutic programs, collaborate with AI scientists and drug discovery teams, and advance scalable data pipelines and models end-to-end in a small, selective cohort.

Location: United States

Workplace: Onsite

Employment Type: Internship · 12 months

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
•Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
•Own projects end-to-end: problem framing → prototyping → validation → deployment
•Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision-making
•Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration

Key Requirements

•Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields
•Evidence of research excellence through high-quality publications or artifacts (publications, open-source contributions, or shipped systems)
•Demonstrated ability to lead substantial technical work with originality—new modeling ideas, rigorous experiments, or production-grade systems adopted by others
•Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery
•Strong technical judgment and ability to design rigorous experiments, ablations, error analysis, and reproducibility

Experience:BiotechBiomedical AIDrug discovery

Education:Master's

Skills:CommunicationCollaborationWritingProblem-solving

Languages:English

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

Loading job details...

Preparing the role view and application actions.

Xaira Therapeutics

4 months ago

AI in Residence

✓ 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: Internship · 12 months

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
•Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
•Own projects end-to-end: problem framing → prototyping → validation → deployment
•Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision-making
•Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration

Key Requirements

•Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields
•Evidence of research excellence through high-quality publications or artifacts (publications, open-source contributions, or shipped systems)
•Demonstrated ability to lead substantial technical work with originality—new modeling ideas, rigorous experiments, or production-grade systems adopted by others
•Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery
•Strong technical judgment and ability to design rigorous experiments, ablations, error analysis, and reproducibility

Experience:BiotechBiomedical AIDrug discovery

Education:Master's

Skills:CommunicationCollaborationWritingProblem-solving

Languages:English

Company Brief

Xaira Therapeutics

Industry: Biotech

Website