Young Investigator, Open Language Models for Biology

Required

• Ai2 is seeking a Postdoctoral Young Investigator to work on CellOLMo, a collaboration between Ai2’s open language model researchers and scientists at the Allen Institute.
• We are looking for a researcher who works at the intersection of machine learning and biology. You should have experience training or adapting transformer-based models and an interest in applying those methods to single-cell data. You may come from machine learning, computational biology, neuroscience, physics, or another quantitative field.
• A completed PhD, or a PhD expected within one year, in machine learning, computational biology, computational neuroscience, physics, or a related quantitative field.
• Hands-on experience training or fine-tuning transformer-based language models.
• Strong Python and PyTorch skills.
• Experience writing reliable, reproducible research code.
• The ability to carry out independent research on open-ended problems.
• The ability to communicate clearly with both machine-learning researchers and biological scientists.
• We also look favorably upon experience in one or more of the following areas:
• Single-cell genomics, including scRNA-seq or snRNA-seq.
• Tools such as scanpy, AnnData, or the scVI ecosystem.
• Multimodal models, instruction tuning, or language-model post-training.