Computational Scientist 3, Spatial Omics & Computational Pathology
Tasks
- Architect image and ai pipelines for whole slide images and spatial omics data
- Collaborate with researchers to interpret and visualize results
- Contribute to upstream experimental design
- Design and implement machine learning algorithms for segmentation feature extraction and predictive modeling
- Develop ai pipelines for image storage and processing on hpc and cloud
- Develop multimodal representation learning frameworks
- Embed biological priors into ai model design
- Engineer scalable imaging data infrastructure
- Fuse morphological features with molecular data
- Lead computer vision ai ml multiplex imaging projects
Perks/Benefits
Skills/Tech-stack
Cloud Computing | Computer Vision | Deep learning | Digital Pathology | Feature extraction | Foundation Models | Generative Models | HPC | Image Segmentation | JAX | Machine Learning | Multimodal Learning | OME-TIFF | Ome-zarr | OpenCV | Probabilistic Modeling | Proteomics | PyTorch | Python | Representation Learning | ScVI | Scanpy | Scikit-image | Spatial omics | Spatial proteomics | Spatial transcriptomics | SpatialData | Squidpy | TensorFlow | Transcriptomics
Education
Regions
Countries
States
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