DATA SCIENTIST – MEDICAL IMAGING & DIAGNOSTICS (AI / DEEP LEARNING)
ROLE OVERVIEW
We are building next-generation AI-powered medical diagnostic solutions focused on MRI, CT, and multimodal imaging. The role involves close collaboration with radiologists, clinicians, and regulatory teams to develop clinically robust, explainable, and production-ready AI models.
This position requires strong grounding in medical imaging, deep learning, and validation workflows aligned with diagnostic and regulatory standards.
KEY RESPONSIBILITIES
Medical Imaging & AI Development
- Develop deep learning models for medical image classification, segmentation, detection, and quantitative analysis.
- Work extensively with MRI and CT DICOM datasets, including preprocessing, normalization, and artifact handling.
- Apply domain-aware image processing techniques informed by MRI/CT physics and pulse sequences.
- Design and train architectures such as CNNs, U-Net, ResNet, and related variants for diagnostic use cases.
Model Validation & Clinical Alignment
- Define and evaluate clinically relevant metrics (Dice score, sensitivity, specificity, ROC-AUC).
- Perform cross-dataset and cross-scanner validation to ensure robustness.
- Collaborate with radiologists and clinical experts to review model outputs and error cases.
- Implement explainability techniques such as activation maps and attention-based visualizations.
Data Engineering & Experimentation
- Curate, preprocess, and augment medical imaging datasets.
- Track experiments, datasets, and model versions using MLflow or equivalent tools.
- Apply statistical methods to assess model performance, bias, and stability.
Deployment & Production
- Develop RESTful APIs using Flask or similar frameworks for model inference.
- Containerize and deploy models using Docker-based workflows.
- Integrate models into CI/CD pipelines with proper version control and testing.
Technical Skills
- Strong proficiency in Python with hands-on experience using PyTorch, TensorFlow, or Keras.
- Solid understanding of deep learning for computer vision and medical imaging.
- Experience handling DICOM images and medical imaging workflows.
- Familiarity with NumPy, OpenCV, Scikit-learn, Pandas.
- Experience building and deploying REST APIs.
- Working knowledge of MRI and CT physics, pulse sequences, and imaging artifacts.
- Experience applying AI to radiology use cases such as tumor detection, organ segmentation, or perfusion analysis.
Software & Engineering Practices
- Experience with Docker, Git-based version control, and CI/CD workflows.
- Understanding of model testing, validation, and production readiness.
Education and Experiecne
- Bachelor’s or Master’s degree in Biomedical Engineering, Diagnostic Imaging, Medical Instrumentation, or related field.
- 2–4 years of relevant experience in medical imaging, AI, or medical device development.
Job Type: Full-time
Pay: ₹1,000,000.00 - ₹1,200,000.00 per year
Benefits:
Work Location: In person
