Senior Data Scientist - AI Engineer (Healthcare)

• Lead ideation, research, and development of next-generation models across CT, MRI, X-ray, ultrasound, and multimodal fusion architectures.
• Architect and execute deep academic-level research, including novel model designs, benchmarking, ablation studies, and scientific validation.
• Translate research outputs into production-ready systems, ensuring reliability, scalability, and clinical relevance for real-world diagnostic workflows.
• Build and oversee pipelines for dataset ingestion, cleaning, labeling, augmentation, multimodal alignment, and large-scale imaging data management.
• Conduct expert-level model evaluation, error analysis, robustness testing, and optimization for high-performance inference.
• Ensure all workflows meet high regulatory standards, including data governance, auditability, reproducibility, and compliance expectations for medical AI.
• Collaborate closely with engineering, product, and clinical teams to deliver models that meaningfully advance diagnostic intelligence and clinical decision support.

• Master’s Degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, or a closely related technical field.
• Expert proficiency in PyTorch, TensorFlow, Ultralytics YOLO, MONAI, and Hugging Face ecosystems.
• Demonstrated experience with medical imaging datasets, DICOM workflows, PACS systems, and radiology modalities.
• Hands-on use of FiftyOne, Roboflow, Labelbox, V7, or Encord for dataset curation, annotation, and quality control.
• Proven ability to lead research initiatives and publish or present advanced imaging work at academic or industry venues.
• Strong background in segmentation, detection, multimodal architectures, and imaging-specific preprocessing pipelines.
• Experience deploying models using Core ML, ONNX Runtime, NVIDIA TensorRT/DeepStream, or major cloud ML platforms (Azure, AWS, GCP).
• Solid engineering foundation in Python, GPU computing, Docker/Kubernetes, and scalable ML systems.
• Familiarity with regulatory frameworks relevant to medical AI, including data privacy, auditability, and reproducibility standards.

Preferred

• Prior collaboration with radiologists, imaging scientists, or clinical imaging teams.
• Experience building multimodal (vision + text) diagnostic or triage models.
• Experience with working in a start-up company and small teams to develop big ideas for a global impact.

Join us to be at the forefront of healthcare innovation by harnessing the power of artificial intelligence! Your expertise will directly impact patient care quality while advancing scientific discovery through sophisticated analytics and scalable AI models., * Master’s (Required), * Machine learning: 5 years (Required)

• DICOM: 3 years (Required)
• AI: 5 years (Required)
• Python: 5 years (Required)
• Clinical information systems: 2 years (Preferred)

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible schedule
• Health insurance
• Paid time off
• Retirement plan