Join Axiom Bio as a Computational Medicinal Chemist
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.
What are we looking for:
We want people who deeply inspire us and relentlessly push us to be better. They must level up the entire team, bringing significant energy and a sense of awe. They should have great taste for what matters, see what needs doing, and act with urgency. They must have a deep curiosity for all facets of Axiom and a greater ambition driving their excitement for what we do.
What you will be doing:
- Lead the development of AI models for predicting human clinical outputs by analyzing model outputs to pinpoint high‑performing and under‑performing use cases.
- Collaborate with machine learning researchers to drive the development of cutting‑edge models for predicting human clinical outcomes.
- Direct model usage, interpretability, refinement, and improvement.
- Clean, curate, and process large‑scale chemistry datasets spanning many unique compounds for model evaluation, training, and more.
- 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 experimental and molecular dataset intelligently—driven by data, ML performance, and real‑world drug hunter usage.
- Influence active drug programs and play a role in evolving 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 speaking and developing relationships with the world’s leading drug hunters.
Expertise which sparks our interest:
- Likely holds an advanced degree in chemistry, cheminformatics, or computational chemistry, or has industry experience at a drug discovery company.
- Might identify as an ML for chemistry researcher, computational chemist, medicinal chemist, or cheminformatics scientist.
- Experience working with drug hunters on advancing real drugs towards the clinic.
- Deep understanding of the current limitations of preclinical models and a passion, vision to make them extremely better.
- Presentation and soft skills with the ability to own customer relationships and partnerships with both biotech companies and big pharma.
- Coding and statistics background: comfortable with Python, cheminformatics libraries like RDKit and Datamol, scientific computing libraries like NumPy, and ideally also with data processing (SQL, Pandas, basic cloud computing).
- Experience analyzing massive chemical datasets and drawing conclusions based on data science and chemistry.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Research, Analyst, and Information Technology
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