Ai2, founded by Paul Allen, conducts high-impact research and engineering to tackle key problems in artificial intelligence.
About the role
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.
What they're looking for
- 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
More about this role
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.
You will be expected to design careful experiments, work independently, and communicate with researchers from different disciplines. Because CellOLMo is an open-science project, you should also be committed to releasing code, data, and model weights for use by the broader research community.
CellOLMo is investigating how open language models can be used with single-cell brain data to answer biological questions. The project will initially focus on the SEA-AD Alzheimer’s disease atlas and will examine data at several levels, from individual cells to brain regions and donors.
One of our main research questions is whether grounding a model in biological language and knowledge...
Read the full posting on Allen Institute for Artificial Intelligence's site ↗
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