
Digital Pathology Specialist
5 days ago
Image Analysis Scientist Role
We are seeking a highly motivated and skilled individual to contribute to developing and optimizing deep learning models for analyzing digitized histopathology slides.
The ideal candidate will design, develop, train, and deploy convolutional neural networks (CNNs) and related machine learning models on H&E-stained histology images.
This role is well-suited for researchers aiming to apply advanced computational methods to biomedical challenges.
Key Responsibilities:
- Develop and optimize deep learning models for cancer classification and spatial mapping.
- Collaborate with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
- Analyze model performance and contribute to improving accuracy, efficiency, and robustness.
- Document research findings and contribute to publications in peer-reviewed journals.
Required Skills and 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.
- Familiarity with digital pathology workflows, image preprocessing/augmentation, and annotation tools.
- Ability to work collaboratively in a multidisciplinary research environment.
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