Senior / Principal Machine Learning Scientist

Senior / Principal Machine Learning Scientist to develop generative AI/ML models for multi-modal, multiscale biology from virtual cells to agentic target assessment.

Requirements

• Pioneer novel machine learning methodologies and statistical frameworks
• Contribute to setting the long-term technical vision and research strategy for a core domain
• Translate your deep understanding of the mathematical and theoretical underpinnings of cutting-edge AI research into high-impact applications
• Design, implement, and optimize large-scale machine learning systems
• Develop and manage efficient distributed training strategies across multiple GPUs and compute clusters
• Develop robust approaches for multi-modal data integration and cross-domain mapping
• Apply computational thinking to solve problems in drug target identification, compound assessment, and prediction of cellular perturbation responses
• Lead the full ML development lifecycle from theoretical conception and data strategy through model development, training, and evaluation
• Act as a key technical mentor to Machine Learning Scientists and Engineers

Benefits

• Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance