The Role
The Image Data Management Lead will lead a team focused on managing healthcare data workflows, ensuring compliance with regulations, and enhancing data infrastructure. Responsibilities include overseeing data acquisition and quality assurance, managing relationships with external vendors, and developing strategies to improve data management processes within a fast-paced environment.
Summary Generated by Built In
Company Overview:
- At iSchemaView/RapidAI, we believe in leveraging cutting-edge technology and research to impact millions of lives. Our software products enhance doctors’ capabilities across hospitals worldwide to respond to and make the best decisions for patients quickly. We are looking for a high-energy employee who is excited to be at the forefront medical device software development. The successful candidate will meet the criteria defined below, and in doing so, will help deliver the best patient care to patients all around the world.
Education, Experience, and Qualification:
- Bachelor's degree in computer science, information systems, or a related field; advanced degree preferred.
- Minimum of 7 to 10 years of experience in healthcare data management, with a focus on data infrastructure, sourcing, and annotations.
- Working experience with global team·
- Strong technical background in data management technologies, Healthcare Imaging and tools, such as relational databases, data lakes, ETL processes, and data quality management·
- In-depth understanding of healthcare data standards, regulations, and compliance requirements, such as HIPAA and GDPR.
- Excellent communication, interpersonal, and influencing skills, with the ability to effectively engage and collaborate with stakeholders at all levels.
- Experience in vendor management, contract negotiation, and relationship building with external partners.
- Strong analytical and problem-solving skills, with the ability to translate complex business requirements into practical data solutions.
- Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities and requirements.
- Certification in healthcare data management or related fields (e.g., CHDA, CDMP) is a plus, Flexibility to work flexible hours to conduct and attend meetings over multiple time zones.
Role And Responsibilities:
- Lead and manage a diverse team of data professionals, including data infrastructure engineers, data scientists/analysts, 3P annotators, across different regions.
- Define and manage the data workflow compliant with the FDA regulatory requirements for healthcare AI development.
- Develop and implement strategic initiatives to enhance healthcare data management infrastructure, ensuring scalability, reliability, and security.
- Oversee data sourcing activities, including the acquisition, integration, and quality assurance of healthcare data from various sources, such as healthcare imaging data from PACS and other image archival systems, electronic health records (EHRs), medical devices, wearables, and other healthcare systems.
- Manage the annotation process for healthcare data, ensuring accuracy and relevance for downstream applications, such as machine learning algorithms and clinical decision support systems.
The Company
What We Do
RapidAI is the global leader in using AI to combat life-threatening vascular and neurovascular conditions. Leading the next evolution of clinical decision-making and patient workflow, RapidAI is empowering physicians to make faster decisions for better patient outcomes. Based on intelligence gained from over 5 million scans in more than 2,000 hospitals in over 60 countries, the Rapid® platform transforms care coordination, offering care teams a level of patient visibility never before possible. RapidAI — where AI meets patient care.
.jpeg){kind=icon}
