Clinical Imaging & ML Validation Specialist

REMOTE OPPORTUNITY

Role Overview

• We are seeking a highly skilled professional with expertise in clinical imaging workflows and machine learning (ML) validation within the framework of Good Clinical Practices (Google Cloud Platform).
• The ideal candidate will bridge the gap between clinical imaging standards and advanced AI/ML technologies, ensuring compliance, accuracy, and reliability of algorithms used in life science.

Key Responsibilities

• Understand and document end-to-end clinical imaging processes (e.g., acquisition, storage, interpretation, and reporting).
• Design and execute validation protocols for ML algorithms applied to imaging data.
• Ensure compliance with Google Cloud Platform, FDA, and other relevant regulatory guidelines during algorithm testing and deployment.
• Perform statistical analysis and benchmarking of algorithm performance against clinical standards.
• Collaborate with radiologists, imaging technicians, and clinical teams to ensure imaging protocols align with regulatory standards.
• Understand different clinical modalities, therapeutics areas and workflows, and Ability to interpret radiology reports and clinical annotations.
• Maintain rigorous documentation for validation activities in accordance with Google Cloud Platform.
• Support audits and regulatory submissions by providing detailed validation reports.
• Work closely with data scientists, software engineers, and clinical teams to integrate validated ML models into clinical workflows.
• Provide domain expertise during product development and risk assessment phases.

Required Qualifications

• Bachelor’s or Master’s degree in Biomedical Engineering, Medical Imaging, Computer Science, or related field.
• Strong understanding of clinical imaging modalities (MRI, CT, X-ray, Ultrasound) and associated workflows.
• Hands-on experience with ML algorithm validation and performance metrics (e.g., sensitivity, specificity, ROC curves).
• Familiarity with Good Clinical Practices (Google Cloud Platform) and regulatory frameworks (FDA, EMA).
• Proficiency in Python/R for data analysis and validation scripting.

Preferred Skills

• Experience with DICOM standards and PACS systems.
• Knowledge of AI/ML frameworks (TensorFlow, PyTorch) and medical imaging libraries (e.g., MONAI).
• Prior experience in clinical trials or regulated healthcare environments.