Senior Biomedical Image Analyst

1 week ago

Meerut, Uttar Pradesh, India beBeeMachine Full time ₹ 10,00,000 - ₹ 15,00,000

Role Overview

We are seeking a PhD candidate with expertise in machine learning to contribute to developing and optimizing deep learning models for histopathology image analysis.

The ideal candidate will be responsible for designing, developing, and training convolutional neural networks (CNNs) and related ML models on H&E-stained histology images.

Key Responsibilities:

Design and develop advanced ML models for cancer classification and spatial mapping of digitized H&E slides.

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-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.

Requirements:

PhD in Computer Science, Biomedical Engineering, Data Science, Computational Biology, or a related discipline.

Proven 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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