Clinical Data Analsyt at RapidAI (Bengaluru, India)Clinical Data Analsyt

RapidAI is the trusted leader in deep clinical AI, helping hospitals deliver faster, more informed care through intelligent imaging and integrated workflows. The Rapid Enterprise™ Platform supports disease states across the care spectrum, but it’s our clinical depth that drives the most meaningful impact — improving decision-making, patient outcomes, and health-system performance. Used by more than 2,500 hospitals in over 100 countries and backed by 700+ clinical studies, including research that helped expand national stroke-treatment guidelines, RapidAI is the most clinically validated AI platform in healthcare.

What you will do:

Imaging Segmentation & Annotation.

Conduct detailed segmentation of CT/MRI images, extracting relevant anatomical features (e.g., lesions, tumors, stroke areas) using industry-standard tools. Perform accurate annotation based on clinical protocols, particularly focusing on neurological and stroke-related conditions.- PACS Platform Expertise: Upload, manage, and administer medical imaging data using PACS (Picture Archiving and Communication System) platforms.

Ensure proper organization, version control, and data integrity for large-scale imaging datasets.

Develop and manage workflows to facilitate seamless image data sharing and access across clinical and research teams.

Troubleshoot and maintain imaging systems and databases, ensuring compliance with regulatory standards (e.g., HIPAA).

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What you will bring:

Bachelor’s or Master’s degree in Radiology, Medical Imaging, Biomedical Engineering, or a related field.

At least 5 years of experience in medical imaging, with a focus on segmentation and annotation of CT/MRI scans.

RapidAI is committed to creating an inclusive and diverse workplace. We provide equal employment opportunities to all employees and applicants and prohibit discrimination and harassment of any type in regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.