Senior Machine Learning Scientist
South San Francisco, California, USA · On-site
Deadline not stated
About
Research models that connect chemical structures, protein sequences and cellular transcriptomics to predict biological responses. Develop and test scientific hypotheses using large single-cell perturbation datasets, contributing new architectures and evaluations for drug discovery. The employer lists the role as on-site with at least three office days each week. The exact role page currently accepts applications and states no fixed deadline.
Requirements
PhD or equivalent technical research experience; a strong record in deep-learning architecture research, including transformers, state-space models, graph neural networks or diffusion models.
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Source: Tahoe Therapeutics