Medical Imaging Data Scientist

3 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 90,00,000 - ₹ 1,80,00,000
Job Description

We are seeking innovative problem solvers to join our team in bringing about a new paradigm in medical image diagnostics. Our goal is to provide intelligent, holistic, ethical, explainable, and patient-centric care.

  • Selecting features, building and optimizing classifier engines using deep learning techniques.
  • Understanding the problem and applying suitable image processing techniques.
  • Using techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
  • Designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
  • Applying best practices around statistical modeling.
  • Creating, training, testing, and deploying various neural networks to solve complex problems.
  • Developing and implementing solutions to fit business problems which may include applying algorithms from standard statistical tools, deep learning, or custom algorithm development.
  • Designing and implementing scalable data science architectures for training, inference, and deployment pipelines.
Required Skills and Qualifications
  • Strong software engineering skills in Python (or other languages used in data science) with emphasis on clean code, modularity, and testability.
  • Excellent understanding and hands-on experience with Deep Learning techniques such as ANN, CNN, RNN, LSTM, Transformers, VAEs etc.
  • Must have experience with Tensorflow or PyTorch framework in building, training, testing, and deploying neural networks.
  • Experience in solving problems in the domain of Computer Vision.
  • Knowledge of data, data augmentation, data curation, and synthetic data generation.
  • Ability to understand the complete problem and design the solutions that best fit all constraints.
  • Knowledge of common data science and deep learning libraries and toolkits such as Keras, Pandas, Scikit-learn, Numpy, Scipy, OpenCV 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.
  • Knowledge of libraries like FastAPI and the ability to apply it to deep learning architectures.
Benefits
  • Opportunity to work on cutting-edge medical image analysis projects.
  • Collaborative and dynamic work environment.
  • Professional growth and development opportunities.
Others
  • BE/B Tech MS/M Tech degree in relevant field (will be a bonus).
  • 3-5 years of experience in data science or relevant field.

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