The Registry Build Team needs support in creating and maintaining clinical registries, and contributing to AI model validation and quality assurance for AI-powered healthcare solutions.
Requirements
- Basic proficiency in Python, SQL, or other data analysis tools
- Familiarity with healthcare data standards and terminology is a plus
- Experience with clinical registry data or healthcare datasets
- Exposure to AI/ML concepts and workflows
- Familiarity with FHIR, HL7, or other interoperability standards
- Prior internship or project experience in healthcare technology
Responsibilities
- Assist in the development and maintenance of registry schemas, ensuring accuracy and consistency with registry requirements
- Collaborate with clinical SMEs to test and validate model outputs against ground truths
- Assist in developing validation datasets and monitoring model performance metrics
- Identify and document data inconsistencies, missing values, and outliers in healthcare data
- Conduct exploratory data analysis to inform registry design and improvement initiatives
- Participate in quality assurance processes for AI-powered features
- Follow compliance and privacy guidelines (HIPAA, relevant data regulations)
Other
- 0–2 years of experience in data analysis, preferably in healthcare or life sciences
- Strong attention to detail and organizational skills
- Ability to work collaboratively in a remote team environment
- All applicants require legal authorization to work in the United States now or in the future without sponsorship.
- All applicants are required to reside within the continental United States.
