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