Staff Toxicologist

Edison ScientificSan Francisco, CA
Onsite

About The Position

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. We’re looking for a Staff Toxicologist to join the Edison team. You’ll define the gold standard for AI-generated toxicology data and reports. You’ll own the toxicology evaluation, training-data, and validation pipelines that make our agent regulatory-grade, generating and curating high-quality data, evaluating AI-generated outputs against IND requirements. You’ll collaborate with engineering, evals, and science teams to benchmark and improve agent performance. This role will report to the Head of Science. This role is on-site at our San Francisco office in the Dogpatch neighborhood. Our office is a converted warehouse with high ceilings, open space, and a team that genuinely believes in what they’re building.

Requirements

  • 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 clean, FDA-ready IND submissions for Phase 1 clinical trials.
  • Proficiency with the standard commercial software suite used in preparing regulatory toxicology reports.
  • Background in non-clinical toxicology, including target animal safety and related study types.
  • Ability to work independently with minimal supervision. You’ll be the sole scientific architect of the toxicology work stream at Edison.
  • AI-curious mindset: comfortable and enthusiastic about iterating with AI/LLM tools to identify data sources and improve outputs.
  • Thrive in a fast-paced startup environment.

Nice To Haves

  • Prior experience with computational toxicology tools and resources.
  • Previous AI/ML work applied to toxicology.
  • Experience at big pharma companies or consulting organizations serving big pharma.
  • Exposure to orphan/rare disease toxicology programs.
  • Experience with gene therapy non-clinical strategies.

Responsibilities

  • Architect strategies for data assembly and synthesis for evaluating and training toxicology capabilities of AI agents.
  • Identify optimal data sources, whether through synthetic generation, consortia, licensed datasets, or other novel approaches.
  • Serve as the internal expert on IND-ready toxicology reports for Phase 1 clinical trials.
  • Evaluate and validate AI-generated toxicology Assure and optimize scientific integrity of AI-generated outputs for accuracy and regulatory compliance.
  • Orchestrate cross-functional approaches with engineering, evals, and science teams to benchmark and improve agent performance.
  • Iterate with AI tools (including our platform) to refine data quality and agent capabilities.

Benefits

  • Competitive salary and equity
  • Full healthcare coverage — we pay 100% of premiums for you and your dependents
  • Support for growing families, including a yearly new parent stipend and fertility coverage through Carrot
  • 401(k) company matching
  • $300 health and wellness benefit per quarter
  • Lunch is on us every day you’re in the office, and dinner is on us when you’re working late
  • Regular team offsites and company events
  • A fast-moving, mission-driven culture where smart people do their best work and actually enjoy doing it
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