Principal Medical Imaging Data Analyst

4 days ago

Vadodara, Gujarat, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,51,00,000

We are seeking a highly skilled Data Scientist to join our team and contribute to the development of innovative solutions in medical image diagnostics.

About the Role

  • We aim to bring about a new paradigm in medical image diagnostics; providing intelligent, holistic, ethical, explainable and patient centric care.
  • Your primary focus will be in applying deep learning and artificial intelligence techniques to the domain of medical image analysis.

Key Responsibilities

  1. Selecting features, building and optimizing classifier engines using deep learning techniques.
  2. Understanding the problem and applying the suitable image processing techniques.
  3. Use techniques from artificial intelligence/deep learning to solve supervised and unsupervised learning problems.
  4. Understanding and designing solutions for complex problems related to medical image analysis by using Deep Learning/Object Detection/Image Segmentation.
  5. Recommend and implement best practices around the application of statistical modeling.
  6. Create, train, test, and deploy various neural networks to solve complex problems.
  7. Develop and implement solutions to fit business problems which may include applying algorithms from a standard statistical tool, deep learning or custom algorithm development.
  8. Participate in code reviews, sprint planning, and Agile ceremonies to drive high-quality deliverables.
  9. Design and implement 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 of 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 the constraints.
  • Knowledge of the 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.
  • 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.

Education and Experience

  • BE/B Tech MS/M Tech (will be a bonus)
  • 3-5 Years of experience in data science or relevant field.

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