New York, New York
Sayre, Pennsylvania
Indianapolis, Indiana
Indianapolis, Indiana
New York, New York
Philadelphia, Pennsylvania
Posted: 24-Sep-24
Location: Los Angeles, California
Salary: Open
Categories:
Internal Number: 142763807
The Department of Medicine, Division of General Internal Medicine, is seeking to hire a Research Associate to utilize URSA, SQL, Python, Tableau and other UC Health data sources to extract UCLA EPIC CareConnect data to support graduate students, clinical scholars, and UCLA researchers who will use health system data to evaluate research questions of interest to the health system, the Value-Based Care Research Consortium, and grant proposals. In this role, you will oversee independent completion of tasks while working in a team. You will also assist in generating analytic reports, patient and clinical metrics, and other reports needed for progress updates for grants and program evaluations conducted by the UCLA Value-Based Care Research Consortium. Key responsibilities will include: data entry; management and calculations using computerized database; developing quality metrics, basic statistical analyses; reviewing data for quality, including accuracy and completeness; collecting data via abstraction from paper and electronic medical records; conducting literature searches and perform data organization for reports and research manuscripts as needed.
Hourly range: $26.48-$53.40
Required:
- Excellent skills in communicating complex ideas in written and verbal communications to supervisors and other team members
- Ability to work both with supervision and independently on projects
- Excellent organizational skills; self-starter who can identify areas of improvement, evaluate the problem, make recommendations for improvement and identify solutions
- Excellent time management skills and ability to prioritize multiple projects and meet deadlines
- Excellent data analytic skills including Tableau, Epic, SQL, Python
- Ability to perform simple statistical analyses (including regressions) with Excel, and statistical platforms such as R, Stata, and SAS.
- Experience working with health system data.
