Head of In Silico Drug Toxicity, VP of Toxicology

🕒 Março 30

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Deep Origin

SiteLinkedInTodas as Vagas

11 - 50 funcionários

🤖 Inteligência Artificial

🧬 Biotecnologia

🔬 Ciência

Artificial Intelligence • Biotechnology • Science

A Deep Origin é uma empresa de ponta focada em acelerar a pesquisa e o desenvolvimento nas ciências da vida por meio de sua plataforma e de ferramentas inovadoras. Ela oferece um conjunto de ferramentas de simulação molecular e uma plataforma de P&D que aproveitam o poder da inteligência artificial e de uma gestão de dados integrada. As soluções da Deep Origin são projetadas para ajudar cientistas a enfrentar desafios complexos, biológicos e relacionados a doenças, fornecendo ferramentas para análise de dados, simulação molecular e descoberta de fármacos. A empresa busca revolucionar a biologia computacional e simular processos biológicos para apoiar a descoberta de novas terapias e a compreensão de doenças. As ofertas da Deep Origin incluem assistentes de análise com IA, workstations de alto desempenho e recursos de triagem virtual de fármacos, tornando-a uma poderosa aliada para pesquisa e desenvolvimento científicos interdisciplinares.

Descrição

• Own, define, and scale our computational toxicology platform end-to-end. • Operate as the general manager of the platform with full ownership across scientific vision, technical architecture, product strategy, and execution. • Work cross-functionally with ML/AI teams, computational biologists, toxicologists, engineers, and commercial teams. • Translate cutting-edge science into scalable, enterprise-ready systems. • Define and drive the long-term roadmap for in silico toxicity prediction. • Design innovative modeling approaches across mechanistic and ML paradigms. • Integrate ML/AI, systems biology, PK/PD modeling, and real-world data into a unified platform. • Evaluate tradeoffs between mechanistic modeling and statistical learning approaches. • Identify breakthrough opportunities beyond current industry standards. • Translate scientific capabilities into robust, scalable software systems. • Partner closely with engineering to build secure, enterprise-grade infrastructure. • Ensure scientific rigor, reproducibility, and regulatory alignment. • Define product strategy for pharma-facing platform offerings. • Engage directly with senior R&D and safety leaders at pharmaceutical companies. • Build and lead a world-class interdisciplinary team (ML scientists, computational biologists, toxicologists, engineers).

🎯 Requisitos

• 15+ years in computational biology, toxicology, drug discovery, or related domain. • Proven experience designing and deploying computational models for toxicity or biological systems. • Demonstrated ability to develop novel modeling approaches beyond industry-standard methods. • Deep hands-on experience designing and deploying computational toxicology models across mechanistic, statistical, and machine learning paradigms. • Demonstrated ability to design innovative modeling approaches, not just apply existing frameworks. • Expertise in integrating ML/AI, systems biology, PK/PD modeling, and real-world data into cohesive predictive systems. • Strong track record evaluating tradeoffs between mechanistic modeling and statistical/ML approaches. • Ability to identify breakthrough opportunities beyond current industry standards. • Experience developing novel model architectures, not just QSAR or legacy approaches. • Comfortable discussing mechanistic toxicity pathways, ML architectures, regulatory strategy, and platform design. • Deep expertise in one or more of: • - Predictive/computational toxicology. • - Systems pharmacology or systems biology. • - Mechanistic modeling. • - ML/AI in drug discovery. • - PK/PD or ADMET modeling. • Strong understanding of preclinical safety workflows. • Familiarity with regulatory frameworks (FDA, EMA, ICH). • Experience working with complex and proprietary pharma datasets. • Awareness of data limitations, bias, and validation challenges. • Experience leading large, interdisciplinary technical teams. • Ability to operate as both a strategic leader and a technical decision-maker. • Executive presence with senior pharma stakeholders. • Strong communication and cross-functional leadership skills. • Experience building platforms, teams, or systems from zero to scale. • Comfortable operating in ambiguity and defining direction. • Strong bias toward action, ownership, and iteration.

🏖️ Benefícios

• Opportunity to define the future of drug safety and predictive toxicology. • Competitive compensation package with meaningful equity. • Comprehensive health, dental, and vision coverage. • Remote-friendly culture with optional onsite work. • Annual team gatherings and company events.