
Axiom is a company that eliminates drug toxicity by providing scientists with AI models that are more accurate and affordable than traditional physical experiments. Their key product is an AI-driven liver toxicity prediction model that uses the world's largest human liver dataset combined with advanced machine learning techniques to predict clinical liver injury with higher accuracy and lower cost. This approach helps reduce drug development failures due to toxicity, saving millions in synthesis and assay costs and avoiding late-stage clinical trial failures. Axiom's technology is positioned as a modern alternative to animal testing, aligning with regulatory shifts away from animal experiments. Their platform offers precise clinical risk assessment and data visualization tools, serving large pharmaceutical companies as early partners.

Axiom is a company that eliminates drug toxicity by providing scientists with AI models that are more accurate and affordable than traditional physical experiments. Their key product is an AI-driven liver toxicity prediction model that uses the world's largest human liver dataset combined with advanced machine learning techniques to predict clinical liver injury with higher accuracy and lower cost. This approach helps reduce drug development failures due to toxicity, saving millions in synthesis and assay costs and avoiding late-stage clinical trial failures. Axiom's technology is positioned as a modern alternative to animal testing, aligning with regulatory shifts away from animal experiments. Their platform offers precise clinical risk assessment and data visualization tools, serving large pharmaceutical companies as early partners.
Charter: Be a founding member of a team building the first accurate AI systems for drug toxicity prediction to replace lab and animal experiments
About Axiom and the role: We’re building AI systems for drug safety and toxicity assessment. Drug toxicity causes about half of drug program failures and by tackling it we can help drug discovery teams across the industry bring new medicines to patients far faster. We’re looking for a data engineer who’s excited to own the pipelines, systems, and tooling that turn raw chemical, biological, and clinical data into ML-ready training data and into customer-ready insights. You’ll work closely with our ML, lab, and product teams to build LLM-driven literature research and data platforms, scale inference of image and graph neural networks, automate ETL from diverse sources, and ensure the integrity of datasets that drive critical decisions internally and externally. This role is ideal for someone who wants to build clean, reliable systems that directly impact the success of hundreds of drug programs.
What are we looking for: We want to hire people who inspire us and level up the entire team. They should be high energy, high agency, and have great taste for what matters. They should have a relentless “observe, orient, decide, act” loop, and be constantly identifying what needs to happen and getting it done. They need to be technically excellent and obsessive masters of their craft, as well as having a great curiosity which will keep them at the frontier of tech and help them interface between AI, engineering, product, biology, chemistry, and business. They could work in big tech, but it won’t satisfy them. They want to go on an adventure which will be brutally challenging, and to share in the rewards and satisfaction at its end.
What you will be doing:
Various expertise which gets us interested:
Key criteria: