AI Scientist – Image Analysis & Digital Pathology
Tasks
- Analyze multimodal imaging datasets using representation learning
- Build generative AI models for drug discovery
- Develop and apply deep learning for digital pathology
- Develop imaging biomarkers from pathology data
- Evaluate validate and benchmark image analysis algorithms
- Perform tissue segmentation cell phenotyping and spatial analysis
Perks/Benefits
- Flexible working options
- Global recognition programs
- Hybrid working options
- Insurance plans
- Paid parental leave
- Relocation support
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Benchmarking | Cell Phenotyping | Computer Vision | Data Analysis | Deep learning | Digital Pathology | Feature extraction | Generative AI | Geometric Deep Learning | H and E | Heme Immunohistochemistry | IHC | Image Segmentation | Machine Learning | Multi-Modal | Multi-Modal Learning | Multiplex IF | PyTorch | Python | Representation Learning | Spatial analysis | Spatial transcriptomics
Education
Roles
AI | AI Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Scientist
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