AI Scientist – Image Analysis & Digital Pathology
Tasks
- Analyze imaging biomarkers and interpret findings
- Apply multi modal and multimodal foundation models
- Build generative AI models for drug discovery
- Develop AI deep learning approaches for digital pathology
- Evaluate validate and benchmark image analysis algorithms
- Extract features and perform spatial analysis
- Publish research and present at scientific conferences
- Segment tissue and phenotype cells
Perks/Benefits
- Flexible working options
- Global recognition programs
- Hybrid working options
- Insurance plans
- Paid parental leave
- Relocation assistance
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Biomarker Analysis | Deep learning | Digital Pathology | Foundational models | Generative AI | Geometric Deep Learning | H and E | IHC | Image Biomarker Analysis | Image Segmentation | Image classification | Machine Learning | Multi-Modal | Multi-Modal Learning | Multiplex IF | Object Detection | PyTorch | Python | Representation Learning | Self-Supervised Learning | Self-supervised | Spatial transcriptomics | Supervised Learning
Education
Roles
AI | AI Scientist | Learning Scientist | Machine Learning Scientist | Scientist
Regions
Countries
States
Cities
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