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Lead Scientist
2 months ago
Novo Nordisk A/S's Computational Drug Design (CDD) organization is a hub for innovation and collaboration, where we develop and apply cutting-edge data science, predictive modeling, and AI/ML capabilities to drive ligand and structure-based drug design. Our team of scientists works seamlessly with global partners to invent better molecules faster, leveraging an unbiased approach to drug modalities, in-house access to advanced screening techniques, and world-class experimentation.
Our MissionWe are dedicated to delivering in silico models, cheminformatics tools, and computational chemistry platforms to enable model-driven small molecule drug design. Our goal is to benefit patients worldwide by advancing portfolio projects and supporting cutting-edge pharmaceutical research.
The RoleWe are seeking a highly skilled Lead Scientist - Computational Toxicology to join our team. As a key member of our organization, you will work closely with colleagues across the R&D organization to develop and implement computational models for toxicological risk assessment, analyze and interpret complex toxicological data, and collaborate with cross-functional teams to integrate computational toxicology into drug discovery and development processes.
Key Responsibilities- Develop, evaluate, and implement computational models for toxicological risk assessment, including building, evaluating, and optimizing models to predict toxicological outcomes across multiple therapeutic modalities.
- Analyze and interpret complex toxicological data using advanced machine learning techniques, including processing and manipulating structured and unstructured toxicological data from various sources.
- Collaborate with cross-functional teams to integrate computational toxicology into drug discovery and development processes, providing toxicological expertise and insights to guide decision-making on assets in pre-clinical and clinical development.
- Master's degree required, PhD strongly preferred, in a field such as Toxicology, Computational Chemistry, Computational Biology, Bioinformatics, or a related quantitative field.
- Relevant experience and skills include research experience in drug discovery, toxicology data analysis and modeling, advanced computational modeling methods, and pharmaceutical project support.
- Preferred experience and skills include hands-on experience in developing, maintaining, and deploying proprietary global and local computational toxicology models, working knowledge of popular commercial in silico toxicity platforms, and familiarity with regulatory requirements and guidelines related to safety assessment and toxicology.
We are committed to creating an inclusive culture that celebrates diversity and promotes employee growth. As a member of our team, you will have the opportunity to work with talented colleagues, contribute to innovative projects, and make a meaningful impact on patient lives. We offer a competitive compensation package and support a healthy work-life balance.
