Artificial Intelligence Specialist for Histopathology Image Analysis

1 week ago

Nashik, Maharashtra, India beBeeMachineLearning Full time ₹ 7,00,000 - ₹ 11,00,000
**Job Title:** H&E Image Analysis Scientist / Machine Learning Engineer- Spatial Omics

We are seeking a motivated PhD candidate with expertise in machine learning for histopathology image analysis.

The ideal candidate will contribute to developing and optimizing deep learning models to analyze digitized H&E slides for cancer classification and spatial mapping.

This role is well-suited for researchers aiming to apply advanced computational methods to biomedical challenges.

  • Design, develop, and train convolutional neural networks (CNNs) and related ML models on H&E-stained histology images.
  • Use and 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.
  • 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.

To succeed in this position, you should have:

* A 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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