Computational Scientist, Biology

Turn large-scale imaging, molecular, and biochemical data into insights that explain drug toxicity and improve predictions of human response to scientists at the world’s largest pharmaceutical companies and AI labs. Uncover mechanisms of injury, identify model failures, and shape the experiments that make Axiom’s scientific agents insanely accurate at predicting human drug outcomes.

• Lead the analysis of large, multimodal toxicity datasets, turning noisy, high-dimensional imaging, transcriptomic, proteomic, and biochemical measurements into biological insights and features for predictive models.
• Characterize drug responses in primary human cells and multicellular systems, identifying phenotypes associated with mitochondrial dysfunction, cholestasis, lipid accumulation, ER stress, and many other mechanisms of injury.
• Develop rigorous quality control methods to assess reproducibility, batch effects, assay performance, and experimental variability across modalities.