
Data Scientist for Histopathology Image Analysis
4 days ago
Job Title: Data Scientist for Histopathology Image Analysis
About the Role:
We are seeking a highly motivated researcher with expertise in machine learning and deep learning to join our team. This is an exciting opportunity to apply advanced computational methods to biomedical challenges, particularly in histopathology image analysis.
Main Responsibilities:
Design, develop, and train convolutional neural networks (CNNs) and related ML models on H&E-stained histology images. Collaborate with cross-disciplinary teams to extend tools such as QuPath for cell annotations, segmentation models, and dataset curation. Preprocess, annotate, and manage large image datasets to support model training and validation.
Key Qualifications:
PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline. Demonstrated research experience in machine learning, deep learning, or biomedical image analysis. Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch.
Preferred Qualifications:
Background in cancer histopathology or biomedical image analysis. Knowledge of multimodal data integration, including spatial transcriptomics.
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