Drug Discovery Scientist

About Axiom:

Axiom is building the closed-loop scientific AI system required to replace animal testing and, over time, much of human safety testing. We start with pharma’s hardest drug development toxicology problems. Those problems define the proprietary human biological data we generate through Axiom’s Data Factory. We use that data to train scientific AI, partnering with leading AI labs to improve frontier models while building our own specialist agentic harness to deploy the improved frontier models back into pharma. Each deployment reveals the next capabilities to build, creating a compounding loop across data, models, and drug development. Today, liver toxicity is our proving ground. Axiom is already helping leading pharmaceutical companies understand toxicity, identify its mechanism, and design safer drugs. Over time, we will expand across the major organ systems and build the experimental and agentic system of record for translational drug development. Our goal is to dramatically reduce the risk of testing new molecules in humans, enabling high throughput evaluation of efficacy in humans.

Who we are looking for:

We are looking for exceptional drug discovery scientists who also have strong computational and mathematical instincts to help build and grow Axiom’s ecosystem. In this role, they will work directly with great scientists at top pharma and biotech companies, researchers from leading AI labs, and Axiom’s multidisciplinary team to build the experimental datasets, agentic systems, and product capabilities needed to accurately predict human drug outcomes. They will also partner closely with scientists inside leading pharma companies to deploy these agents into real discovery workflows, where they will be critical for informing major go/no-go decisions across many high-value drug programs. 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 or pharma, 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.

Key Responsibilities:

• Build and ship agentic tools and data systems that let agents accurately predict human drug outcomes

• Own key customer deliverables end to end, including data generation, QC/QA, computational analysis, agentic workflows, data presentation, and partnership with sponsors to translate results into drug program decisions.