Consulting Opportunity: Staff Toxicologist About Edison Scientific Edison Scientific builds and commercializes AI agents for science. Scientific discovery moves too slowly, and autonomous AI agents are how we intend to fix that. We're assembling a team of top researchers and engineers across AI and biology to build an AI scientist. The Opportunity We're seeking an experienced Staff Toxicologist for a flexible, part-time consulting engagement. You'll serve as the subject matter expert who defines the gold standard for AI-generated toxicology data and reports — ensuring our platform produces outputs that are scientifically accurate and regulatory-grade. This is designed to fit around existing commitments. Most of our consultants are fully employed elsewhere and engage with us on an as-needed basis, with no fixed schedule or rigid hour requirements.

What You'll Do

Advise on strategies for data assembly and synthesis to evaluate and train toxicology capabilities of our AI platform Provide expert guidance on optimal data sources — synthetic generation, consortia, licensed datasets, and other approaches Serve as our go-to expert on IND-ready toxicology reports for Phase 1 clinical trials Review and validate AI-generated toxicology outputs for scientific accuracy and regulatory compliance Collaborate with our engineering, evals, and science teams to benchmark and improve agent performance Iterate with AI tools (including our platform) to refine data quality and output accuracy What We're Looking For 10+ years of experience in toxicology/DMPK, OR direct involvement in 10+ IND-enabling toxicology reports Deep experience synthesizing raw CRO toxicology study data into FDA-ready IND submissions for Phase 1 clinical trials Proficiency with standard commercial software used in preparing regulatory toxicology reports Background in non-clinical toxicology, including target animal safety and related study types Ability to work independently — you'll be the primary scientific voice on toxicology at Edison Comfortable and enthusiastic about working with AI/LLM tools to evaluate and improve outputs PhD in Pharmacology, Toxicology, or related field preferred, but not required — real-world experience is prioritized Bonus Points Prior experience with computational toxicology tools AI/ML work applied to toxicology Background at big pharma or consulting organizations serving big pharma Exposure to orphan/rare disease or gene therapy non-clinical programs Additional Notes Remote/US based Flexible hours / flexible time zone