Senior Specialist, Data Science
Core
Lead development and deployment of next-generation computational toxicology capabilities using advanced AI/ML and foundation models to accelerate safer drug discovery and support regulatory-ready New Approach Methodologies (NAMs).
Role type
Senior AI/ML scientist (computational toxicology)
Builds
Production-grade models and agentic systems for toxicity prediction and translational safety applications
Domain
Life sciences / Computational toxicology / Drug discovery
Deliverable
production ML models
Required skills
Large language models (LLMs), Agentic AI frameworks, Multimodal data modeling, Python, PyTorch, TensorFlow, MLOps, Cloud platforms (AWS), HPC environments
Preferred skills
Probabilistic/Bayesian modeling, Uncertainty quantification, Causal inference, Reinforcement learning, Regulated environment experience
Technologies
PyTorch, TensorFlow, AWS, HPC
Responsibilities
Lead deployment of advanced AI/ML solutions for toxicity prediction; Design and implement agentic AI systems; Fine-tune and align foundation models for toxicology applications; Collaborate with cross-functional teams to ensure explainability and regulatory compliance; Champion model governance and responsible AI practices; Present science in internal and external toxicology forums
Seniority
Senior, hands-on IC
