Job Description

Charter: Be a founding member of a team setting out to build the first accurate AI systems for replacing lab and animal toxicity experiments with AI models. About Axiom: We want people who inspire us and push us to be better. They must elevate the team with energy and awe, act with urgency, and bring great taste for what matters. They should be technically excellent masters of their craft, curious, and driven by the challenge of solving hard scientific problems and building a generational company. What you will be doing: Collaborate with machine learning researchers to drive the development of cutting‑edge models for molecular property prediction. Clean, curate, and process large-scale chemistry datasets spanning hundreds of thousands of unique compounds. Build intuition for how small‑molecule structure drives key properties such as ADME, toxicity, PK/PD, and cellular biology. Analyze model outputs to pinpoint high‑performing and underperforming chemotypes, guiding scientific insight and model refinement. Partner directly with top drug hunters at Pfizer, Takeda, Gilead, Merck, and others to interpret model predictions and accelerate decision‑making. Design new strategies to expand our chemical dataset intelligently, driven by ML performance and real‑world usage. Influence active drug programs and play a role in advancing how the world’s leading pharma teams develop safe, effective medicines. Help shape Axiom’s product based on customer feedback and insights you uncover from the field. Operate at the intersection of chemistry, biology, machine learning, and product design—pushing forward a transformative technology platform. Expertise which sparks our interest: Advanced degree in chemistry, cheminformatics, or computational chemistry, or industry experience at a drug discovery company. Experience as a ML for chemistry researcher, computational chemist, medicinal chemist, or cheminformatics scientist. Experience working with drug hunters on real drug programs. Strong presentation and soft skills to own customer relationships and partnerships with biotech companies and big pharma. Proficiency in Python and cheminformatics libraries such as RDKit and datamol, scientific computing libraries like NumPy, and data processing skills (SQL, Pandas, basic cloud computing). Experience analyzing massive chemical datasets and deriving conclusions based on statistics and chemistry. #J-18808-Ljbffr Axiom Bio

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