[Hiring] AI Engineer @Cedars-Sinai

Role Description

The Ai Engineer (Rev Cycle Data Intelligence Analyst) works with end-user requests to detail moderately to sophisticated business requirements, data definitions, business rules, and data quality requirements in support of enterprise data intelligence projects.

• Creates specifications for reports and analysis based on business/clinical needs and data elements required or available.
• Produces data sets, reports, ad-hoc requests, dashboards, etc.
• Conducts data analysis in support of a variety of analytic solutions.
• Provides the specialized expertise needed to build, validate, and operationalize AI and analytics solutions in a secure healthcare environment.
• Supports revenue cycle customers in the health system on hospital and professional billing related analytics needs.
• Accelerates delivery of predictive analytics, natural language processing, automation, anomaly detection, and self-service intelligence to reduce manual analysis, surface risks earlier, and improve decision speed across the organization.
• Demonstrates a strong understanding of report analysis and development.
• Triages intake of data requests and seeks an understanding of business needs.
• Applies knowledge of healthcare and critical thinking skills in the analysis of business requests and makes recommendations for solutions to solve challenges.
• Provides sophisticated report and data analysis with the help of team members, vendors, and/or other EIS department contacts.
• Participates in re-engineering operational work-flow processes with end-users/business owners.
• Solid understanding of build concepts, Epic migration paths, change control process/governance, and ticket management process.
• Leads and evaluates process and requirements analysis, including process mapping through current flow charts, documents, future needs/plans, requirement elicitation, stakeholder analysis, and specification gathering on complex projects.
• Serves as the primary point of contact for vendor support and assistance for larger and more complex projects as well as in resolving increasingly complex or critical issues in assigned areas.
• Independently provides guidance and leadership on quality assurance and testing initiatives.
• Contributes to strategy discussions by proactively identifying options with associated pros and cons with EIS team members and others.

Qualifications

• Three (3) plus years’ experience with SQL, plus demonstrated ability with a range of query tools such as Python, R, Oracle, Microsoft SQL, PowerBI, etc.
• One (1) plus years of experience with hospital billing and professional billing modules in Epic.
• Developing Epic Clarity (HB and/or PB) reports preferred.
• Hands-on experience performing reporting analysis and developing custom reports.
• Familiarity with databases used in patient care, administrative applications for hospitals, and data warehousing technology.
• Experience analyzing basic to moderately sophisticated Clarity report requests, Reporting Workbench and Radar build requests.
• Demonstrated understanding of healthcare applications as well as the needs and priorities of patient care providers.
• Technical proficiency in Reporting Workbench and Radar build.
• Able to teach sophisticated Reporting Workbench and Radar build concepts.

Requirements

• Bachelor’s degree in Computer Science or related field required (coursework in quantitative field preferred).
• Epic (HB and/or PB) Certification preferred.
• SQL Server certification preferred.

Benefits

• Outstanding benefit package.
• Competitive salaries.
• Commitment to hiring the best, most committed employees.
• Diverse and inclusive work environment.

Company Description

Cedars-Sinai is harnessing rapidly evolving breakthroughs in AI technology to enhance patient care, improve efficiency, advance scientific discovery, and cultivate greater physician and staff wellbeing.

• Recognized by the “CHIME Digital Health Most Wired“ recognition program.
• Assigned a Level 10 certification among more than 300 surveyed healthcare organizations.
• Excelled in areas of infrastructure, interoperability, and population health innovation.