Research Scientist AI/ML Foundational Models
Core
Develop and deploy foundational AI models (LLMs, diffusion models, multimodal architectures) to transform drug discovery across target identification, disease modeling, and molecular design.
Role type
Senior IC research scientist (foundational models)
Builds
Large-scale scientific models for drug discovery
Domain
Life sciences / AI / Drug discovery
Deliverable
production ML models
Required skills
Deep learning architectures (transformers, diffusion models), training large-scale models, PyTorch, distributed training, biology/chemistry/disease biology knowledge, cloud computing (AWS/GCP), GPU cluster training
Preferred skills
Pharmaceutical/life sciences foundation model experience, multimodal learning, omics data analysis, protein structure prediction, model compression, Python/ML libraries
Technologies
PyTorch, AWS, GCP, LLMs, diffusion models, transformers, graph neural networks
Responsibilities
Develop and train foundational AI models for drug discovery; Fine-tune pre-trained models for Takeda-specific applications; Build multimodal foundation models integrating omics and imaging data; Apply state-of-the-art generative architectures for molecular generation; Collaborate with computational scientists to deploy models; Stay current with advances in foundation models and contribute to publications
Seniority
Senior, hands-on IC
