Description

Lead Axiom’s drug discovery programs by combining medicinal chemistry, human biology, and scientific AI agents to develop safer, more effective drugs. Own scientific decisions from molecular design through experimental validation, working with pharmaceutical partners to advance candidates toward development and turn each program’s discoveries into better agents and tools.

About Axiom

Axiom’s mission is to eliminate unexpected drug toxicity and unlock an abundance of ultra safe medicines. We are starting with the liver, where toxicity remains a leading cause of drug failure. Our high-throughput human liver safety platform combines advanced human cell systems with imaging, transcriptomics, mass spectrometry, and drug metabolism measurements. Our AI agents integrate these data with chemical structure, human exposure, and thousands of clinical reference compounds to predict whether a drug will be toxic in humans, why, and how to make it safer.

We work with seven of the world’s top twenty pharmaceutical companies to design safety into molecules from the earliest stages. This applied work feeds directly into our partnerships with leading frontier AI labs, turning real discovery challenges and experimental feedback loops into scientific skill trees and reinforcement learning environments that train increasingly superhuman scientists. We then deploy these frontier models to make cancer therapies safer, unlock treatments for chronic diseases that demand exceptional safety, revive promising drugs abandoned because of toxicity, and much more.

Our ultimate ambition is to build a superhuman AI agent that predicts how a drug will behave across all major human organ systems before the first patient receives it. With insanely accurate safety predictions, we aim to enable rapid, high-throughput testing of novel drugs in humans with zero risk of toxicity. This is the key to unlocking an abundance of ultra safe, effective medicines.

What you will do

Lead Axiom drug discovery programs from initial hypothesis through lead optimization, integrating medicinal chemistry, human biology, computational methods, and AI agents to develop safer, more effective drugs.

Help select programs where Axiom has a distinctive advantage, define target product and compound profiles, and establish clear milestones and go/no-go criteria.

Own the design–make–test–analyze cycle, working with computational scientists, experimental teams, and synthesis partners to design molecules, prioritize experiments, interpret results, and decide what to do next.

Use and help develop scientific agents that investigate toxicity mechanisms, integrate evidence, propose chemical modifications, and guide experimental decisions.

Own scientific relationships and deliverables for biotech and pharmaceutical partners, translating their program goals into experimental plans, rigorous analyses, and actionable recommendations.

Ensure the quality and reproducibility of program data, distinguish meaningful findings from artifacts, and test whether improvements in potency, safety, and exposure support the intended drug profile.

Work with Axiom’s scientific and commercial leadership to build compelling evidence packages for partnerships and licensing opportunities before clinical development.

Turn insights from internal programs and customer engagements into reusable tools, analyses, and agent workflows within Translate.

Partner with ML researchers and leading AI labs to turn experimental campaigns into benchmarks and reinforcement learning environments that improve frontier models’ scientific judgment and molecular design.

What we look for

A track record of advancing drug discovery programs through hit-to-lead, lead optimization, or candidate nomination, with direct responsibility for consequential scientific decisions.

Strong medicinal chemistry judgment, including interpreting structure–activity and structure–property relationships, designing informative compound series, and balancing competing objectives.