Sr Associate– Image Analysis & Digital Pathology

About the role

Develop and apply image analysis, computer vision, and machine learning methods for digital pathology datasets. Design and implement analysis pipelines for whole-slide imaging (WSI), H&E, IHC, multiplex immunofluorescence, and spatial omics datasets. Build reproducible and scalable workflows using Python and modern ML/DL frameworks such as PyTorch or TensorFlow.

What you'll do

• Design and implement analysis pipelines for whole-slide imaging (WSI), H&E, IHC, multiplex immunofluorescence, and spatial omics datasets
• Build reproducible and scalable workflows using Python and modern ML/DL frameworks such as PyTorch or TensorFlow
• Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches

What you need

• Machine learning
• Computer vision
• Python
• PyTorch
• TensorFlow
• Any graduate