Full Job Description
Build human cell models and multiplexed high-content assays that reveal how drugs cause toxicity and predict their effects in people. Partner with robotics engineers, computational scientists, and ML researchers to generate large-scale biological datasets that power frontier AI agents for translational drug discovery.
What you will do:
• Build human cell models that accurately predict drug-induced toxicity in the liver, kidney, heart, immune system, and pharmacokinetics like exposure and metabolisms.
• Design and optimize physiologically relevant systems using primary human cells, multicellular cultures, organoids, and other advanced models.
• Develop high-content assays that reveal how drugs disrupt cellular function and cause injury.
• Combine live-cell imaging, transcriptomics, proteomics, and mass spectrometry to connect changes in cell behavior with underlying molecular mechanisms.
• Work with robotics engineers to build a generalizable robotics platform for assay development and turning complex assays into reproducible, high-throughput experimental workflows.
• Establish rigorous validation and quality control standards to ensure consistent results across cell batches, plates, operators, and laboratories.
• Investigate mechanisms of drug-induced injury and design experiments that distinguish meaningful biological effects from measurement artifacts.
• Partner with computational scientists and drug discovery teams to generate large-scale biological datasets with the quality and depth needed to predict toxicity and guide drug development.
• Partner with leading pharmaceutical companies and AI labs to interpret Axiom's data, uncover the biochemical mechanisms behind observed effects, and guide drug discovery decisions.
What we look for:
• You're an exceptional experimental scientist with a deep understanding of cell biology and human physiology.
• You invent and refine biological models and assays to answer questions that established protocols cannot.
• You care deeply about reproducibility, biological relevance, and data quality, with the attention to detail needed to catch subtle sources of error.
• You hold your work to extremely rigorous scientific standards, designing decisive experiments with strong controls and drawing conclusions supported by the evidence.
• You can interpret complex biological phenotypes and distinguish meaningful effects from noise, confounding factors, and experimental artifacts.
• You challenge the limits of conventional cell models and develop systems that better predict human biology and drug responses.
• You're deeply curious about cell biology, experimental technologies, and drug discovery, and eager to master new methods.
• You communicate complex science clearly, make a compelling case for your ideas, and inspire scientists and collaborators to pursue ambitious questions.
Technical skills we value:
• Experience with primary human cell culture, iPSC culture and differentiation, and cell engineering.
• Experience developing physiologically relevant models, including co-cultures, organoids, spheroids, and engineered tissues.
• A strong foundation in cell biology, molecular biology, physiology, and pharmacology.
• Expertise in high-content imaging, Cell Painting, fluorescence microscopy, live-cell imaging, and image-based phenotypic screening.
• Experience developing, miniaturizing, and automating assays for high-throughput screening.
• Experience measuring cell viability, mitochondrial function, oxidative stress, ER stress, apoptosis, inflammation, and other functional responses.
• Familiarity with RNA sequencing, proteomics, metabolomics, and methods that combine multiple biological measurements.
• Strong experimental design and quantitative analysis skills, including dose-response analysis, statistical methods, assay validation, and quality control.