Informatics Analyst, Clinical Care Advance - Community First at University Health

What sets us apart?

As one of the largest employers in the region, our more than 8,000 employees choose us for the many opportunities we provide to make a real impact. University Health is the only locally owned health system in San Antonio. For more than 100 years, we’ve been here to heal, improve health, train the next generation of medical professionals, and ensure the people of San Antonio, Bexar County and South Texas have access to high-quality and compassionate primary and advanced specialty care, close to home.

Our benefits

• Healthcare: Excellent coverage for individuals and families with very low premiums and co-pays, and ZERO co-pays for medications filled at University Health. Dental, vision, pet insurance, flexible and health spending accounts.
• Paid Time Off (PTO): Generous accrual rates that start on day one.
• Retirement: We offer both a 457(b) and 403(b) deferred compensation programs.
• Education Reimbursement: including college tuition reimbursement up to $600 per semester, continuing education up to $400 and certification reimbursement.
• Life and Disability: Basic life paid by University Health, with optional plans for life and disability insurance.
• Health and Wellness: Employee discounts, including gym memberships, employee health clinic, healing arts program, community events.

Position Summary/Responsibilities
Serves on the Cognizant Clinical Care Advance conversion team. Provides expertise in the mapping and application execution of Clinical Care Advance from the current care management system (ZeOmega JIVA). Extensive participation in the project management reporting. Supports Information Systems and the organization by integrating the clinical and technical aspects of this project.

Education/Experience
A minimum of three years of experience using a current version of the Cognizant Clinical Care Advance system. Bachelor’s degree in information management or clinical field is preferred. Project management experience and clinical data abstraction within an integrated health system or academic medical center is highly desirable. Extensive knowledge of SQL and experience working with SQL Server and Excel is required. Strong understanding in researching data issues; excellent analytical and QA skills; and ability to take large sets of data and find anomalies and troubleshoot data issues to ensure data integrity is desirable. Experience testing data and creating related test cases is desirable.

Apply today!