Research Data Intelligence Analyst

Job Description

Grow your career at Cedars-Sinai

The Enterprise Information Services (EIS) team at Cedars-Sinai understands that true clinical transformation and the optimization of a clinical information systems implementation is fueled through the alignment of the right people, processes, and technologies.

Why work here?

Cedars-Sinai placed in the top 20 on Newsweek’s “ World's Best Smart Hospitals 2024 ” list, which highlights hospitals that have excelled in the utilization of electronic functionalities, telemedicine, digital imaging, artificial intelligence and robotics.

The organization’s Healthtech excellence was acknowledged again, this time by the esteemed “ CHIME Digital Health Most Wired “ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted high scores across multiple verticals and particularly excelled in areas of infrastructure, interoperability, and population health innovation.

What will you be doing in this role:

The Research Data Intelligence Analyst role is heavily focused on reporting, with a primary responsibility for delivering accurate, timely, and high-quality reports that support researchers conducting both prospective and retrospective studies. Analysts will work extensively with Epic’s Clarity and Caboodle data models, producing multiple large scale reports each week and managing datasets ranging from hundreds of thousands to millions of records. Because this work involves sensitive patient information, the role requires strict adherence to HIPAA and PHI privacy standards as well as a strong attention to detail to ensure data integrity and compliance. The position also involves intermediate level design, build, and implementation of reporting solutions, applying operational knowledge to translate research needs into reliable, functional outputs. In addition to reporting, the analyst provides support for research applications such as REDCap, OnCore, I2B2, OMOP, and DEEP6, and assists end users through training, troubleshooting, and client interactions.

• 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.

Qualifications

Experience 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.

Educational Requirements:

High School Diploma/GED.

Bachelor's degree in Computer Sciences, Mathematics, or related subject area. (preferred)

Epic Clarity and/or Caboodle Certifications highly preferred.

#LI-Remote

Req ID : 11582

Working Title : Research Data Intelligence Analyst (Epic Clarity/Caboodle) - Remote

Department : Research Data Services

Business Entity : Cedars-Sinai Medical Center

Job Category : Information Technology

Job Specialty : Bus Intelligence/Reporting

Overtime Status : EXEMPT

Primary Shift : Day

Shift Duration : 8 hour

Base Pay : $96,324.80 - $154,128

Cedars-Sinai is an EEO employer. Cedars-Sinai does not unlawfully discriminate on the basis of the race, religion, color, national origin, citizenship, ancestry, physical or mental disability, legally protected medical condition (cancer-related or genetic characteristics or any genetic information), marital status, sex, gender, sexual orientation, gender identity, gender expression, pregnancy, age (40 or older), military and/or veteran status or any other basis protected by federal or state law.