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Key Activities:
- Analyze single-cell and multiomics datasets to extract biological insights.
- Apply ML/deep learning to single-cell data for cell type classification and biomarker discovery.
- Prototype generative AI approaches to accelerate data interpretation.
Must Haves:
- Current Ph.D. candidate in Bioinformatics or related field.
- Single-cell omics experience with frameworks like Scanpy/scverse or Seurat.
- Machine learning expertise with deep learning models on biological data.
Desired Qualifications:
- Experience with deep learning frameworks.
- Familiarity with graph neural networks or transformer architectures.
- Exposure to cloud computing platforms.
RefinedScience
RefinedScience's mission is to advance care by bringing together the best science, data and minds – disease by disease, patient by patient, cell by cell to discover pathways to life beyond disease. They seamlessly integrate top-tier clinical and biological data with expert knowledge to provide unparalleled insights.