Data Scientist for Histopathology Image Analysis

5 days ago

Kanpur, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 12,00,000 - ₹ 15,00,000

Job Title: Data Scientist for Histopathology Image Analysis

We are seeking a skilled PhD candidate to contribute to the development and optimization of deep learning models for cancer classification and spatial mapping.

The ideal candidate will work on designing, developing, and training convolutional neural networks (CNNs) and related machine learning models on H&E-stained histology images.

This role involves collaborating with cross-disciplinary teams to integrate image-based predictions with molecular and clinical data.

  • Design and develop 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 research teams to integrate image-based predictions with molecular and clinical data.

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 include background in cancer histopathology or biomedical image analysis, knowledge of multimodal data integration, including spatial transcriptomics.

This is an exciting opportunity for researchers to apply advanced computational methods to biomedical challenges and contribute to the development of cutting-edge technologies.

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