Sr. Scientist, RNA Foundation Models

About the Opportunity: A leading AI-driven drug discovery organization is seeking an exceptional Senior/Staff Machine Learning Scientist to help lead its core AI research team, with a specific focus on building Biological Foundation Models for RNA biology.

The Role: Lead the architecture, training, and scientific validation of large-scale foundation models on genomic, transcriptomic, and single-cell datasets, working in close partnership with computational biologists and drug developers to ensure models capture biologically meaningful, mechanistically grounded representations. What You'll Own Foundation Model Architecture: Deep emphasis on CNNs, Transformers, and sequence models (including state-space models) purpose-built for RNA and genomic sequence data. Biological Grounding: Embed deep biological priors directly into model architectures and training objectives, tying model design to RNA biology and therapeutic mechanism. Model Development at Scale: Implement, train, debug, and rigorously evaluate large-scale models, demonstrating scientific validity on frontier problems in RNA-based genetic medicine.

What You Bring: PhD (or equivalent demonstrated expertise) with a strong research focus in Computational Biology, Machine Learning, Computer Science, or a related quantitative field. Deep, hands-on expertise building foundation models: CNNs, Transformers, and sequence/state-space models applied to biological or genomic sequence data. Demonstrated track record building foundation models applied towards RNA Strong PyTorch proficiency; experience training and debugging large-scale deep learning models