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 integrating omics, biomedical imaging, protein 3D structures, and molecular representations
Domain
Life sciences / Drug discovery / Generative AI
Deliverable
production ML models
Required skills
Deep learning architectures (transformers, diffusion models), training large-scale models, PyTorch, distributed training, biology/chemistry/disease biology knowledge, protein language models, molecular generative models, 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, efficient inference, Python/ML libraries
Technologies
PyTorch, TensorFlow, scikit-learn, AWS, GCP
Responsibilities
Develop and train foundational AI models for drug discovery; Fine-tune pre-trained models for specific applications; Build multimodal foundation models; Apply state-of-the-art approaches like graph neural networks; Guide model architecture with domain expertise; Implement generative architectures for molecular generation; Collaborate to deploy models across therapeutic platforms
Seniority
Senior, hands-on IC
