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Salary: USD 180,000 - 250,000 / annual
Edison Scientific builds and deploys AI scientist agents to accelerate science and drug discovery. The company is run by scientists and engineers from leading institutions across biology, physics, chemistry, and AI.
You will join the Forward Deployed team, embedded directly with pharma and biotech partners. Your core mission is to ensure AI agents produce chemistry that is credible, synthesizable, and actionable for real drug discovery teams. This is hands-on, client-facing work that bridges AI capabilities with practical medicinal chemistry needs.
Key responsibilities include:
- Improving AI agent performance on hit-to-lead chemistry tasks including SAR analysis, structure-based design, and synthetic feasibility assessment
- Designing benchmarks and acceptance criteria for chemistry-focused agent workflows
- Partnering with medicinal chemists at client organizations to integrate AI agents into their discovery pipelines
- Serving as the chemistry expert evaluating AI-generated outputs, assessing structural soundness, identifying failure modes, and determining actionability
- Collaborating daily with Forward Deployed Engineers and Computational Biologists on client accounts
- Supporting engagement scoping, success metrics definition, and technical evaluation with go-to-market team members
You will build relationships with discovery leaders, translate their chemistry thinking into agent behavior, and feed insights back to the AI team to improve platform reasoning about molecular design. This role requires domestic travel 20-40% of the time.
REQUIREMENTS:
- Ph.D. in Computational Chemistry, Medicinal Chemistry, Organic Chemistry, or related field
- 5+ years of industry experience, ideally within pharma or biotech sponsor organizations
- Track record in lead optimization campaigns from hit identification through candidate nomination
- Deep knowledge of cheminformatics tools (RDKit, Schrödinger, MOE)
- Experience integrating ADMET and DMPK data into design decisions
- Ability to travel domestically 20-40% of the time
PREFERRED:
- Python proficiency
- Experience across multiple therapeutic areas
- High comfort with ambiguity and fast iteration
