Senior Principal Machine Learning Scientist, AIBT
South San Francisco, United States
USD 202K-376K Senior-level Full Time
Tasks
- Assess emerging machine learning technologies
- Build multimodal biological foundation models
- Define genomics AI strategy
- Develop sequence modeling self supervised learning and generative models
- Lead and mentor scientists
- Partner with experimental teams for target discovery
- Publish in ML and genomics venues
Perks/Benefits
Skills/Tech-stack
Cellular Systems Biology | Cellular systems | Deep learning | Epigenomics | Foundation Models | Functional Genomics | Gene Regulation | Generative AI | Genomics | Machine Learning | Multimodal Learning | Regulatory genomics | Representation Learning | Self-Supervised Learning | Self-supervised | Sequence Modeling | Supervised Learning | Systems Biology
Education
Regions
Countries
States
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