Medical Imaging Ai Data Jobs

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Senior Data Scientist - AI Engineer

American Radiologist Network Inc Remote 🌍 Remote

Remote

Today

$180k - $250k/yr Full time Senior Artificial Intelligence Data Pipeline

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Job Description

American Radiologist Network Inc is building a diagnostic intelligence platform that advances clinical decision support using state-of-the-art, multimodal imaging models. In this remote role, you will lead end-to-end work that spans academic-level research and production deployment across CT, MRI, X-ray, ultrasound, and multimodal fusion, with a focus on regulatory expectations for medical AI.

What you’ll do

Drive ideation, research, and development of next-generation models across CT, MRI, X-ray, ultrasound, and multimodal fusion architectures.
Lead deep research efforts, including novel model design, benchmarking, ablation studies, and scientific validation.
Convert research findings into production-ready systems, emphasizing reliability, scalability, and clinical relevance for real-world diagnostic workflows.
Build and manage pipelines for dataset ingestion, cleaning, labeling, augmentation, multimodal alignment, and large-scale imaging data management.
Perform expert-level model evaluation, error analysis, robustness testing, and optimization for high-performance inference.
Ensure workflows meet high regulatory standards for medical AI, including data governance, auditability, and reproducibility.
Partner with engineering, product, and clinical teams to deliver models that support diagnostic intelligence and clinical decision support.

Required qualifications

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 the Hugging Face ecosystem.
Demonstrated experience with medical imaging datasets, DICOM workflows, PACS systems, and radiology modalities.
Hands-on experience with dataset curation, annotation, and quality control tools including FiftyOne, Roboflow, Labelbox, V7, or Encord.
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, and Docker/Kubernetes for scalable ML systems.
Familiarity with regulatory frameworks for medical AI, including data privacy, auditability, and reproducibility standards.

Experience

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

Technology stack

PyTorch, TensorFlow, Ultralytics YOLO, MONAI, Hugging Face
FiftyOne, Roboflow, Labelbox, V7, Encord
Core ML, ONNX Runtime, NVIDIA TensorRT, DeepStream
Azure, AWS, GCP, Python, Docker, Kubernetes
DICOM, PACS

Benefits

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

Preferred fit

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

Location: Remote

Salary: USD 180,000 - 250,000 per year

Minimum experience: 2 years

Education: Master’s (Required)

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