Senior Medical Imaging Data Scientist

4 days ago


Salem, Tamil Nadu, India beBeeMedicalImaging Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

Medical Imaging Data Scientist Position

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We are seeking a talented Medical Imaging Data Scientist to join our team and contribute to the development of innovative solutions for medical image diagnostics. Our goal is to provide intelligent, holistic, ethical, explainable, and patient-centric care.

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This role will focus on applying deep learning techniques to medical image analysis, including feature selection, classifier engine optimization, and solution design for complex problems. The ideal candidate will have experience with Tensorflow or PyTorch and knowledge of data augmentation, curation, and synthetic data generation.

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Key Responsibilities:

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  • Selecting features, building, and optimizing classifier engines using deep learning techniques.\
  • Applying suitable image processing techniques to solve problems in medical image analysis.\
  • Designing and implementing scalable data science architectures for training, inference, and deployment pipelines.\
  • Ensuring code quality, readability, and maintainability by enforcing software engineering best practices within the data science team.\
  • Optimizing models for production, including quantization, pruning, and latency reduction for real-time inference.\
  • Contribute to the architectural design of data platforms to support large-scale experimentation and production workloads.\
  • Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.\
  • Drive the adoption of versioning strategies for models, datasets, and experiments (e.g., using MLFlow, DVC).\
  • Design and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning, or custom algorithm development.\
  • Create, train, test, and deploy various neural networks to solve complex problems.\
  • Recommend and implement best practices around the application of statistical modeling.\
  • Develop and implement solutions to fit business problems.\
  • Understanding the requirements and designing solutions and architecture in accordance with them.\
  • Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.\
  • Understand the problem and apply the suitable image processing techniques.\
  • Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.\
  • Understanding the complete problem and design the solutions that best fit all the constraints.\
  • The ability to empathize with the consumer, understand business problems, and design and deliver intelligent products.\
  • The knowledge of data, data augmentation, data curation, and synthetic data generation.\
  • Experience in solving problems in the domain of Computer Vision.\
  • The expertise in model optimization techniques (e.g., ONNX conversion, TensorRT, model distillation).\
  • Familiarization with Triton.\
  • Excellent understanding and hands-on of Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.\
  • Good applied statistical skills, such as distributions, statistical testing, regression, etc.\
  • Exposure to Agile/Scrum methodologies and collaborative development practices.\
  • Experience with the development of RESTful APIs.\
  • The knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures is essential.\
  • Excellent analytical and problem-solving skills with a good attitude and keen to adapt to evolving technologies.\
  • Experience with medical image analysis will be an advantage.\
  • Solid understanding of software design patterns, microservices, and cloud-native architectures.\
  • Experience designing and building ML architecture components (e.g., feature stores, model registries, inference servers).\
  • Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.\
  • A minimum of 3-5 years of experience in data science, machine learning, or a related field.\

About Us

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We are a leading provider of innovative solutions for medical image diagnostics. Our mission is to provide intelligent, holistic, ethical, explainable, and patient-centric care.

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What We Offer

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We offer a competitive salary, comprehensive benefits package, and opportunities for professional growth and development. If you are passionate about medical imaging and eager to contribute to cutting-edge research, please submit your application.

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