AI Research Scientist

2 days ago

Kolkata, West Bengal, India beBeeMachineLearning Full time ₹ 80,00,000 - ₹ 1,50,00,000
Job Title: AI Research Scientist

We are seeking a highly motivated and skilled PhD candidate to join our research team as an AI Research Scientist. The ideal candidate will have expertise in machine learning, deep learning, and biomedical image analysis.

This role is well-suited for researchers who want to apply advanced computational methods to real-world problems in biomedical research.

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.
  • Document research findings and contribute to publications in peer-reviewed journals.

Required Skills and 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.

Benefits:

This role offers an excellent opportunity for researchers to apply their skills in machine learning and image analysis to real-world problems in biomedical research. We offer a dynamic and supportive research environment, opportunities for professional development, and a competitive salary package.

About the Role:

The ideal candidate will be highly motivated, self-directed, and able to work effectively in a team environment. We value diversity, equity, and inclusion in our workplace and encourage applications from underrepresented groups.

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