Senior AI Research Scientist for Digital Pathology

4 days ago

Mount Abu, Rajasthan, India beBeeDigitalPathology Full time ₹ 60,00,000 - ₹ 1,20,00,000
Job Summary:

We seek a highly motivated and experienced PhD candidate to join our research team in developing and optimizing deep learning models for histopathology image analysis.

The ideal candidate will contribute to designing, training, and validating convolutional neural networks (CNNs) and related ML models on H&E-stained histology images.

Key Responsibilities:
  • Develop and Train Deep Learning Models: Design, develop, and train CNNs and related ML models on large datasets of H&E-stained histology images.
  • Image Preprocessing and Annotation: Preprocess, annotate, and manage large image datasets to support model training and validation.
  • Cross-Disciplinary Collaboration: Collaborate with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.
  • Model Performance Analysis: Analyze model performance and contribute to improving accuracy, efficiency, and robustness.

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.
Preferred Qualifications:
  • Background in cancer histopathology or biomedical image analysis.
  • Knowledge of multimodal data integration, including spatial transcriptomics.

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