Data Science Developer (Medtech)

TL;DR

Data Science Developer (Medtech): Collect, preprocess, and analyze large medical imaging datasets to identify patterns and develop machine learning algorithms for improving diagnosis accuracy with an accent on deep learning architectures and regulatory compliance. Focus on designing software tools for image analysis, collaborating with cross-functional teams on algorithm testing, and participating in clinical studies to evaluate model performance.

Company

hirify.global develops healthcare imaging systems including PACS, VNA, and RIS workflows.

What you will do

• Collect, preprocess, and analyze large datasets to identify patterns and features for medical imaging.
• Develop and apply machine learning algorithms to enhance diagnosis accuracy and reduce false positives.
• Collaborate with radiologists, medical professionals, and engineers to build and test AI models.
• Design software tools and frameworks to automate medical image processing and analysis.
• Implement deep learning for image classification and analysis tasks.
• Participate in clinical studies to validate algorithms and ensure regulatory compliance.

Requirements

• 5+ years in developing and integrating complex imaging systems or medical image diagnosis software.
• Experience with C++, C#, Python, and machine learning.
• Knowledge of DICOM development and troubleshooting.
• Prior experience with healthcare components (PACS, VNA, RIS) and workflows.
• B.S. in Computer Science or related field (M.S. or PhD preferred).