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Head of Toxicology
Deep Origin: Head of Toxicology
About the Company
Deep Origin—co-founded by Michael Antonov (Oculus co-founder) and backed by Formic Ventures—is developing an operating system for life science research. Our focus: next-generation predictive toxicology, reducing drug discovery failure rates, accelerating clinical development, and advancing AI-driven computational models of human biology.
We’re not building incremental QSAR tools. We’re pioneer foundational infrastructure for computational toxicology in the era of AI, systems biology, and large-scale computation.
About the Role
We seek a Head of Toxicology to own, define, and scale our computational toxicology platform end-to-end. This leadership role demands:
- A chief subject matter expert in toxicological science and translational technology.
- Strategic vision to steer ML/AI, computational biology, and engineering teams.
- Executive-level regulatory acumen to navigate FDA/EMA compliance in a pharma-first context.
You will unify cutting-edge science with real-world problem-solving, ensuring our platform sets bar-setting industry standards in in silico safety evaluation.
Requirements
Essential ✔ 15+ years in computational toxicology, drug discovery, or a related scientific domain, with hands-on experience in systems biology / ML/AI. ✔ Ability to conceptualize, design, and deploy novel computational models across:
- Mechanistic scenarios
- Mixed-paradigm (statistical + ML)
- PK/PD, ADMET, systems pharmacology
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Advanced Technical Expertise ✔ Deep familiarity with one or more:
- Predictive toxicology vs. QSAR vs. legacy modeling (avoiding incremental solutions)
- ML/AI in drug discovery (model architecture awareness beyond UP compute-heavy approaches)
- Pharmacometrics and real-world data challenges ✔ Proven track record evaluating and trading off mechanistic vs. ML/statistical approaches. ✔ Regulatory insight (FDA/EMA/ICH frameworks), pre-clinical workflows, and proprietary pharma data handling.
Leadership & Mindset ✔ Executive-ready stakeholder communication, from ML teams to C-level pharma leaders. ✔ Mission-driven builder: comfortable in ambiguity, restrained by potential, not processes, and determined to anchor category-defining solutions.
Key Responsibilities
1. Scientific & Technical Vision
- Define the long-term predictability roadmap for in silico toxicity prediction, transitioning from heuristics to high-talent, AI-driven confidence.
- Innovate new architects beyond predictive vs. ML paradigms (“it’s not adoption of pretrained models!”).
- Partner with platform/data teams to integrate real-world datasets, ensuring data novelty vs. reapplying known metrics.
2. Platform & Product Leadership
- Translate scientific edge into reproducible, secure, enterprise-grade systems.
- Collaborate with engineers to bridge artifacts for industry-specific deployment.
3. Innovation & Data Strategy
- Build proprietary scalable dataset strategies that outthink current biomechanics & graphs.
- Establish validation frameworks balancing rigor across model safety, credibility, and real-world usability.
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4. Customer & External Leadership
- Engage senior pharma safety leaders, representing Deep Origin in publicly valid scientific forums.
- Shape academic partnerships and co-development deals, advancing the basal norms of safety evaluation.
Values & Working Style
Your role requires:
- An owner’s mindset bent on redefining scientific infrastructure rather than managing legacy systems.
- Endurance under ambiguity, executing bias toward breakthrough solutions.
- ** جمعية cross-functional contributors** (science, engineering, business) to accelerate speed and precision.
Why This Role Matters Now
We’re not just scaling—we’re redefining predictive toxicology’s core abstract paradigm. As Deep Origin’s first formal catastrophic error in safety, you define the operational foundation that transitions next-generation science into scalable value.
Benefits
🔹 Mission impact: Define the cornerstone of computational drug safety. 🔹 Competitive compensation plus meaningful equity to align with your scale goals. 🔹 Full support for remote collaboration with regular optional on-site work. 🔹 Team-first culture with annual gatherings, quarterly off-sites, and research-drivenExplore the full list at our care page.
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