
Senior Imaging Scientist
24 hours ago
Job Title: H&E Image Analysis Scientist / Machine Learning Engineer
Experience: Freshers required to take on a challenging role in our team.
Key Responsibilities:
Design, develop, and train convolutional neural networks (CNNs) and related machine learning models on histology images.
» Utilize 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.
Collaborate with cross-functional teams to integrate image-based predictions with molecular and clinical data.
Analyze model performance and contribute to improving accuracy, efficiency, and robustness.
Requirements:
PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related field.
Demonstrated research experience in machine learning, deep learning, or biomedical image analysis.
Strong programming skills in Python and experience with machine learning 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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