Distinguished Data Scientist providing technical leadership for next - generation AI systems at Walmart. Driving system design and advanced solution development for impactful machine learning applications at scale.
About the role
- Senior AI/ML scientist in Computational Toxicology driving advanced AI/ML solutions for safer drug discovery and regulatory methodologies.
Responsibilities
- Lead deployment of advanced AI/ML solutions (multimodal transformers, graph or sequence models, Bayesian/probabilistic approaches) for toxicity prediction and translational safety applications.
- Design and implement agentic AI systems tailored to toxicology use cases.
- Specialize in the fine-tuning and alignment of foundation models for toxicology domain-specific applications and supporting new approach methods (NAMs).
- Drive collaboration with cross-functional teams of toxicologists, computational scientists, biologists, and chemists to ensure explainability, reproducibility, and address specific "context of use" regulatory requirements for safety assessments.
- Champion best practices in model governance, and responsible AI within a regulated environment, helping to establish frameworks for responsible and ethical AI deployment in preclinical research.
- Present and communicate science in key internal and external toxicology forums.
Requirements
- Ph.D. or M.S. in Computer Science, Computational Biology, Computational Chemistry, Bioinformatics, Statistics, or related field.
- 0+ years post-PhD or 3+ years post-MS experience developing and deploying AI/ML models
- Hands-on experience with large language models and agentic AI frameworks (fine-tuning, prompt engineering, multi-agent orchestration, tool use, and API-based production orchestration) required.
- Proven experience integrating and modeling multimodal datasets (omics, chemical, textual, imaging).
- Strong software development skills in Python and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow), MLOps tools, cloud platforms (AWS preferred), and HPC environments.
- Excellent communication skills; ability to translate complex technical work to domain experts and leadership.
Benefits
- medical, dental, vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days
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