Transforming Medical Diagnostics with AI Solutions
2 days ago
About the Opportunity:
You will play a pivotal role in developing cutting-edge AI solutions that revolutionize medical diagnostics and workflows. You will work at the intersection of healthcare and artificial intelligence, leveraging your expertise to drive innovation.
Key Responsibilities:
- Lead end-to-end development of deep learning models for medical imaging tasks from data curation and preprocessing to model training, evaluation, and deployment.
- Explore and fine-tune foundation models for use in diagnostic and clinical imaging applications.
- Drive research and prototyping of novel architectures for image segmentation, detection, and generation.
- Collaborate with cross-functional teams to ensure clinical relevance, robustness, and compliance.
- Contribute to the development of scalable ML pipelines, model interpretability tools, and performance monitoring systems.
- Publish findings in peer-reviewed journals or conferences and represent the company at scientific and industry forums.
- Mentor junior data scientists and guide the team on best practices in model development, validation, and documentation.
Requirements:
- PhD or masters degree in computer science, Biomedical Engineering, Applied Mathematics, or a related field.
- 5+ years of experience in data science or machine learning, with at least 3 years focused on medical imaging.
- Strong experience in deep learning frameworks (TensorFlow, PyTorch) and model architectures for computer vision.
- Practical exposure to foundation models, including prompt engineering, fine-tuning, and domain adaptation.
- Proven ability to work with 2D/3D imaging datasets (DICOM, NIfTI), and medical imaging toolkits (e.g., MONAI, SimpleITK, ITK-SNAP).
- Expertise in evaluation metrics specific to medical imaging (Dice, IoU, AUC, etc.) and experience working with imbalanced datasets.
- Solid understanding of healthcare data compliance (HIPAA, FDA, MDR) and medical device AI/ML lifecycle.
- Excellent problem-solving, communication, and leadership skills.
Preferred Qualifications:
- Publications or patents in AI for healthcare or medical imaging domains.
- Experience with PACS/RIS systems, HL7/DICOM standards, and clinical workflows.
- Familiarity with LLMs or multimodal generative models in a clinical context.
- Exposure to MLOps, model deployment, and on-device inference optimization (e.g., TensorRT, ONNX, OpenVINO).
Benefits:
We are a forward-thinking organization that values innovation and collaboration. As a Senior Data Scientist for Medical Imaging, you will have the opportunity to work on cutting-edge projects that drive real-world impact.
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