Artificial Intelligence Researcher

3 days ago

Vellore, Tamil Nadu, India beBeeDeepLearning Full time ₹ 90,00,000 - ₹ 1,50,00,000

Job Title: Deep Learning Specialist

We are seeking a highly motivated and skilled PhD candidate to join our team in developing and optimizing deep learning models for cancer classification and spatial mapping.

The ideal candidate will contribute to advancing state-of-the-art techniques in machine learning, computer vision, and biomedical image analysis.

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

Responsibilities:

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

Qualifications:

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