Job Description

Salary: $180,000 - 250,000 per year Requirements:

• Masters degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Biomedical Engineering, or a closely related technical field; a masters degree is required.
• At least 5 years of experience in machine learning, AI, and Python; at least 3 years working with DICOM; experience with clinical information systems is preferred (2 years).
• Expert proficiency with PyTorch, TensorFlow, Ultralytics YOLO, MONAI, and Hugging Face.
• Demonstrated experience with medical imaging datasets, DICOM workflows, PACS systems, and radiology modalities.
• Hands-on experience using 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 with Core ML, ONNX Runtime, NVIDIA TensorRT/DeepStream, or major cloud ML platforms such as Azure, AWS, or GCP.
• Solid engineering skills in Python, GPU computing, Docker/Kubernetes, and scalable machine learning systems.
• Familiarity with medical AI regulatory frameworks, including data privacy, auditability, and reproducibility standards.
• Experience collaborating with radiologists, imaging scientists, or clinical imaging teams is preferred.
• Experience developing vision-and-text diagnostic or triage models is preferred.
• Experience working in a startup and on small teams is preferred.

• Lead research and development of advanced models for CT, MRI, X-ray, ultrasound, and multimodal image fusion.
• Direct academic-level research, including novel model design, benchmarking, ablation studies, and scientific validation.
• Turn research findings into production-ready systems that are reliable, scalable, and relevant to clinical diagnostic workflows.
• Build and oversee pipelines for dataset ingestion, cleaning, labeling, augmentation, multimodal alignment, and large-scale imaging data management.
• Evaluate models, analyze errors, test robustness, and optimize performance for high-speed inference.
• Ensure workflows meet regulatory expectations for data governance, auditability, reproducibility, and medical AI compliance.
• Partner with engineering, product, and clinical teams to deliver models that advance diagnostic intelligence and clinical decision support.

• AI
• AWS
• Azure
• Cloud
• Docker
• GCP
• Support
• Kubernetes
• Machine Learning
• PACS
• PyTorch
• Python
• TensorFlow
• Architect

More:

We are seeking a senior Data Scientist to lead research and develop advanced multimodal imaging models for our diagnostic intelligence platform, taking innovations from scientific research through deployment in clinical environments. We aim to advance healthcare innovation and support patient care and scientific discovery with scalable AI models. This is a remote role with an annual salary of $180,000–$250,000. Benefits include a 401(k) and matching, dental and health insurance, a flexible schedule, paid time off, and a retirement plan.

last updated 41 week of 2026

Job Tags

Similar Jobs