Senior Data Scientist - AI Engineer

American Radiologist Network Inc; United States; Remote; USD 180,000 - 250,000; Full time

Benefits offered by this job

401(k)

401(k) matching

Dental insurance

Flexible schedule

Health insurance

Paid time off

Retirement plan

Vision insurance

Job summary

American Radiologist Network Inc in a remote role leads the development of diagnostic intelligence using multimodal imaging models across CT, MRI, X-ray, ultrasound, and multimodal fusion. You will drive ideation, research, and production deployment spanning academic-level work to real-world clinical workflows.

The role emphasizes regulatory compliance, data governance, auditability, and collaboration with engineering and clinical teams to deliver scalable, reliable models for decision support.

Qualifications

• Master’s degree or PhD in a technical field such as Computer Science, ML, AI, Biomedical Engineering.
• 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.

Responsibilities

• Ideate and develop 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, reliable, scalable diagnostic workflows for clinical use.
• 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.

Skills

Research leadership

Benchmarking

Scientific validation

Production deployment

Regulatory compliance

Education

Master’s degree or PhD

Tools

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

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)