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
What are we looking for:
We only want to hire 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 do it with great urgency. They should just act. There must be a deep curiosity for all facets of Axiom, a greater ambition fueling their excitement for what we do. They need to be cracked, technically excellent, obsessive masters of their craft. They're irrational; they could work in big tech, but they know it will not satisfy them: they want the challenge of solving a brutally difficult scientific problem and building a generational company from the ground up, as well as the rewards and glory that will come as a result.
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 underperforming 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 intelligentlyâdriven by data, ML performance, and real-world drug hunter usage.
Influence active drug programs and play a role in evolving how the worldâs leading pharma teams develop safe, effective medicines.
Help shape Axiomâs 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 either has an advanced degree in chemistry, cheminformatics, or computational chemistry, or has industry experience at a drug discovery company.
Might identify as a 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: should be comfortable with python, with 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 diving conclusions based on data science and chemistry.
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