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Build and deploy agentic tools and data systems to predict human drug outcomes and inform go/no-go decisions for pharma partners. Manage end-to-end customer deliverables and integrate feedback from drug hunters into Axiom's ML models and data generation.
Requires an advanced degree or significant industry experience in medicinal chemistry, toxicology, or computational chemistry. Must be proficient in Python and scientific libraries like RDKit, NumPy, and Pandas, with strong computational and mathematical instincts.
Join Axiom as a founding team member and help build the compounding technology ecosystem that will replace animal testing and ultimately reshape clinical trials through agentic systems that can accurately predict human outcomes.
Axiom is building a compounding ecosystem to replace animal testing and, over time, reshape how clinical trials are run. It starts with deeply understanding the needs of drug hunters inside large pharma. Those needs shape the world-class datasets we build from scratch. We then use that data to advance our own ML research, while also collaborating with leading AI labs to improve frontier models’ ability to reason over Axiom’s data inside Axiom’s agent harness. This creates a compounding loop: deeper customer understanding shapes the data we generate; better data improves frontier models, Axiom’s fine-tuned models, and our agentic infrastructure; stronger models and tooling expand the capabilities of Translate; and Translate is forward deployed into pharma workflows, where scientists use it to solve high-value drug discovery problems and help us identify the next problems to tackle.We are still in the early days. Today, we are focused on solving drug-induced liver injury through an integrated data and agentic system already being used by 7 of the top 20 pharma companies and several of the world’s most innovative biotechs. Over time, Axiom will build the world’s largest human-relevant datasets across all the major organ systems, paired with an agentic harness that uses this data to predict human drug outcomes dramatically better than animals.
We are looking for exceptional drug hunters with 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 20 pharma 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 drug hunters 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.
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.
Partner directly with drug hunters at top 20 pharma companies, researchers at leading AI labs, and Axiom’s multidisciplinary team to build the experimental datasets and agentic systems needed to accurately predict human outcomes, then deploy those systems into real discovery workflows to inform major go/no-go decisions across high-value drug programs.
Work closely across Axiom’s chemistry, biology, machine learning, engineering, and lab teams to embed each customer’s goals and context into our work, and own the feedback loop from customer needs back into Axiom’s data generation, models, and agentic workflows.
Ensure Axiom learns from every customer engagement by expanding and productionizing the insights generated by our agentic workflows, while reducing analysis cycle time for each subsequent customer.
Conduct independent analyses of Axiom’s data to improve underlying data quality and develop new analytical frameworks that can be scaled through agentic workflows.
Enable leading pharma drug hunters to define the future of drug discovery using Axiom’s agents, data, and experimental platform.
Demonstrated experience with drug development programs, especially decision-making in hit-to-lead, lead-op, or candidate nomination.
Medicinal chemistry and DMPK reasoning around structure–activity and structure–property relationships, matched molecular pairs, and hit-to-lead / lead-optimization design.
ADME/DMPK and PK/PD interpretation, physicochemical property optimization, and exposure–response reasoning.
Strong computational chemistry, engineering, and ML ability.
Presentation (e.g. slides, reports) and soft skills, with the ability to own customer relationships and partnerships with both biotech companies and big pharma.
Comfortable in both customer-facing and technical roles — you can identify a customer’s technical needs, translate them into an Axiom experimental and analytical plan, then guide the execution and communication of results.
Likely an advanced degree in medicinal chemistry, cheminformatics, toxicology, or computational chemistry, or significant industry experience as a drug hunter.
Comfortable with Python, cheminformatics libraries like RDKit, scientific computing libraries like NumPy, and data processing such as SQL and Pandas.
Adenza (Formerly known as AxiomSL) We are now Adenza. Follow us at: https://www.linkedin.com/company/adenza/
Visit: https://www.linkedin.com/company/adenza
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