Description
Radical Numerics is seeking a Research Scientist, Machine Learning for Biology to develop frontier AI architectures for genomics, protein biology, and cellular systems. The role involves adapting large sequence and multimodal foundation models through fine-tuning, post-training, adapters, and architectural modifications; designing experiments, evaluation pipelines, benchmarks, and data representations; analyzing model behavior; and collaborating with computational biologists and model architecture teams. Candidates should have strong machine learning and deep learning experience, familiarity with biological data modalities, Python and ML tooling expertise, and mid-to-senior experience building and deploying ML systems.
