Senior AI-Enabled Drug Discovery Scientist

Axiom Bio; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Axiom Bio in San Francisco is building a closed-loop scientific AI system to replace animal testing and accelerate drug discovery through its Data Factory and agentic platforms.

This role seeks exceptional drug discovery scientists with computational instincts to partner with pharma, AI labs, and internal teams to generate datasets, deploy agentic workflows, and inform go/no-go decisions across high-value programs.

Qualifications

• Experience directing drug discovery programs from hit-to-lead to development.
• Strong background in structure–activity and structure–property relationships.
• Expertise in ADME/DMPK interpretation and exposure–response reasoning.
• Ability to present results through slides and reports to sponsors.

Responsibilities

• Build experimental datasets and agentic systems for human outcome predictions.
• Own data generation, QC/QA, computational analysis, and client deliverables.
• Collaborate across chemistry, biology, ML, and engineering teams.
• Translate customer goals into studies and guide execution of results.
• Reduce analysis cycle time and productionize insights from workflows.
• Engage with pharma sponsors to inform go/no-go decisions.
• Drive adoption of agentic workflows in discovery programs.

Skills

Drug discovery programs experience

Decision-making in hit-to-lead/lead-OP

Medicinal chemistry reasoning

ADME/DMPK PK/PD interpretation

Computational chemistry ML ability

Presentation and client-facing skills

Education

Advanced degree in chemistry or computational chemistry

Tools

Python

RDKit

NumPy

SQL

Pandas

Job description

Axiom Bio in San Francisco is building a closed-loop scientific AI system to replace animal testing and accelerate drug discovery through its Data Factory and agentic platforms.

This role seeks exceptional drug discovery scientists with computational instincts to partner with pharma, AI labs, and internal teams to generate datasets, deploy agentic workflows, and inform go/no-go decisions across high-value programs.