Deeporigin
Head of Toxicology
United States
Sponsorship not specifiedDetected 20 days ago
Machine LearningProduct ManagementProduct StrategyBusiness DevelopmentPharmacologyFDA RegulatoryBioinformaticsPharmacovigilanceResearchAnimal StudiesLeadershipCommunication
About the role
- This role operates as the chief subject matter expert, technical visionary, and regulatory expert of our tox platform.
Responsibilities
- Design innovative modeling approaches across mechanistic and ML paradigms.
- Partner closely with engineering to build secure, enterprise-grade infrastructure.
- Innovation & Data Strategy Develop novel model architectures beyond standard industry approaches.
- Design defensible strategies for acquiring and structuring proprietary datasets.
- Build long-term data advantages through strategic partnerships (pharma, government, research).
Requirements
- This role requires both deep technical leadership and executive-level strategic thinking, with the ability to translate cutting-edge science into scalable, enterprise-ready systems.
- Technical Depth in Computational Toxicology 15+ years in computational biology, toxicology, drug discovery, or related domain.
- Proven experience designing and deploying computational models for toxicity or biological systems.
- Strong understanding of preclinical safety workflows.
Skills
- Strong communication and cross-functional leadership skills.
Benefits
- Builder & Entrepreneurial Mindset Experience building platforms, teams, or systems from zero to scale.
- Scientific & Technical Vision Define and drive the long-term roadmap for in silico toxicity prediction.
- Evaluate tradeoffs between mechanistic modeling and statistical learning approaches.
Company info
- Deep Origin is building an operating system for science that transforms how life science research is conducted.
- Led by Michael Antonov, co-founder of Oculus, and backed by Formic Ventures, we are redefining the infrastructure behind modern drug discovery.
- We are now building the next-generation platform for predicting drug toxicity in silico, transforming how pharmaceutical companies evaluate safety before clinical trials.
- Our mission is to reduce failure rates, accelerate drug development, and eliminate unnecessary animal testing through high-fidelity computational models of human biology.
- We are not building incremental QSAR tools.
- We are building foundational infrastructure for predictive toxicology in the age of AI, systems biology, and large-scale computation.
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