Young Investigator, Open Language Models for Biology
Core
Design and evaluate multimodal language models combining single-cell gene-expression data with text to answer biological questions about neurodegeneration and brain health.
Role type
Postdoctoral Young Investigator (Research Scientist)
Builds
Open-source multimodal models, code, data, and research artifacts for the broader scientific community.
Domain
Computational biology / Machine learning / Neuroscience
Deliverable
production ML models
Required skills
Transformer model training/fine-tuning, Python, PyTorch, experimental design, independent research, scientific communication
Preferred skills
Single-cell genomics (scRNA-seq/snRNA-seq), scanpy/AnnData/scVI, multimodal/instruction-tuning, neurodegeneration/brain atlases, public code/model releases
Technologies
OLMo, PyTorch, Python, scanpy, AnnData, scVI
Responsibilities
Develop multimodal models combining gene-expression and text; reproduce and evaluate approaches like scGPT and Geneformer; adapt models for brain/neurodegeneration data; design experiments to test language grounding; develop brain-region/donor representations; evaluate models on held-out donors; collaborate with scientists to interpret results; release data/code/models; prepare results for publication.
Seniority
Postdoctoral Researcher