Cell Biology Scientist - High-Content Toxicity & AI Safety

Axiom; South San Francisco (CA); Sur place; USD 120 000 - 180 000; Plein temps

Résumé du poste

Axiom in South San Francisco is building a pioneering liver safety platform that integrates human cell models with imaging, transcriptomics, and mass spectrometry to predict drug toxicity in humans. You will contribute to high-content assays and complex data generation that powers frontier AI in translational drug discovery.

We seek an exceptional experimental scientist who designs rigorous experiments, ensures data quality, and communicates findings clearly to interdisciplinary teams,

Qualifications

• Exceptional experimental scientist with a deep understanding of cell biology and human physiology.
• Invent and refine biological models and assays to answer questions that established protocols cannot.
• Care deeply about reproducibility, data quality, and rigorous standards with strong controls.
• Able to interpret complex biological phenotypes and distinguish meaningful effects from noise.
• Deeply curious about cell biology, experimental technologies, and drug discovery.
• Communicate complex science clearly and inspire collaboration.

Responsabilités

• Build human cell models that accurately predict drug-induced toxicity in multiple organ systems.
• Design and optimize physiologically relevant systems using primary human cells, organoids and advanced models.
• Develop high-content assays to reveal how drugs disrupt cellular function and cause injury.
• Combine live-cell imaging, transcriptomics, proteomics, and mass spectrometry to link changes in cells to molecular mechanisms.
• Collaborate with robotics engineers to create a generalizable robotics platform for assay development and high-throughput workflows.
• Establish rigorous validation and QC standards to ensure consistency across batches, plates, and labs.
• Investigate mechanisms of drug-induced injury and distinguish real effects from artifacts.
• Partner with computational scientists and drug discovery teams to generate large-scale biological datasets for toxicity prediction.
• Collaborate with pharma companies and AI labs to interpret data and guide safer drug development.

Connaissances

Cell biology

Human physiology

Experimental design

Data quality

Communication

Curiosity

Outils

High-content imaging

Cell Painting

Fluorescence microscopy

Live-cell imaging

Phenotypic screening

RNA sequencing

Description du poste

Axiom in South San Francisco is building a pioneering liver safety platform that integrates human cell models with imaging, transcriptomics, and mass spectrometry to predict drug toxicity in humans. You will contribute to high-content assays and complex data generation that powers frontier AI in translational drug discovery.

We seek an exceptional experimental scientist who designs rigorous experiments, ensures data quality, and communicates findings clearly to interdisciplinary teams,