Cedars-Sinai is looking to optimize clinical information systems implementation through the alignment of people, processes, and technologies, and the Research Data Intelligence Analyst role is focused on delivering accurate and timely reports to support researchers.
Requirements
- Three (3) plus years of experience in Epic Clarity and Caboodle data models, research data extraction, report delivery, grant support, and application support.
- Solid grasp of SQL experience.
- Epic Clarity and/or Caboodle Certifications highly preferred.
- Experience with research applications such as REDCap, OnCore, I2B2, OMOP, and DEEP6.
- Knowledge of data privacy and integrity standards, including HIPAA and PHI requirements.
Responsibilities
- Deliver accurate, timely, and high-quality reports using Epic’s Clarity and Caboodle data models, often working with datasets ranging from hundreds of thousands to millions of records.
- Ensure all reporting adheres to HIPAA and PHI requirements, maintaining strict data privacy and integrity standards.
- Translate research and operational requirements into actionable reporting solutions, working closely with researchers and stakeholders to meet study needs.
- Provide support for research applications such as REDCap, OnCore, I2B2, OMOP, and DEEP6, including troubleshooting and user assistance.
- Assist researchers and staff through training, hands-on guidance, and client support interactions.
- Contribute to the design, build, and implementation of reporting tools and data solutions, applying knowledge of applications and workflows.
Other
- High School Diploma/GED.
- Bachelor's degree in Computer Sciences, Mathematics, or related subject area. (preferred)
- Ability to work in a remote setting.
- Strong attention to detail and ability to maintain data integrity and compliance.
- Ability to work with sensitive patient information and adhere to strict data privacy standards.
