Senior Scientist – Image Analysis & Digital Pathology

Job Description:

Responsibilities

• 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.
• Perform tissue segmentation, cell phenotyping, feature extraction, and spatial analysis using state-of-the-art computational approaches.
• Collaborate with pathologists and translational teams to interpret image-derived biomarkers and biological findings.
• Contribute to evaluation, validation, and benchmarking of image analysis algorithms and workflows.
• Support deployment and operationalization of computational imaging pipelines in cloud or high-performance computing environments.
• Stay current with advances in computational pathology, AI/ML, and spatial biology technologies

Qualification & Experience

• PhD or MS in Computer Science, Biomedical Engineering, Computational Biology, Bioinformatics, Electrical Engineering, Applied Mathematics, or related quantitative discipline.
• Strong background in computer vision, image analysis, and machine learning/deep learning.
• Demonstrated experience working with biomedical imaging data (pathology preferred).