Data Scientist in Histopathology Image Analysis

20 hours ago

Allahabad, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 8,00,000 - ₹ 16,00,000
Senior Data Scientist in Machine Learning for Histopathology

We are seeking a highly motivated and experienced data scientist to join our team as a senior data scientist specializing in machine learning for histopathology image analysis.

The successful 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.

Key Responsibilities:
  • 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.

Requirements include 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 is also required. Strong programming skills in Python and experience with ML frameworks such as TensorFlow or PyTorch are necessary.

Additionally, the ideal candidate should be familiar with digital pathology workflows, image preprocessing/augmentation, and annotation tools. A collaborative mindset and excellent communication skills are essential for success in this role.

Benefits:
  • Opportunity to work on cutting-edge projects in machine learning and histopathology.
  • Chance to collaborate with cross-disciplinary teams and contribute to meaningful biomedical research.
  • Professional development and growth opportunities within the organization.
How to Apply:

For consideration, please submit your application, including your CV, cover letter, and relevant research experience. We look forward to hearing from you

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