Manager Data Administration

New Jersey’s academic health center, Rutgers Biomedical and Health Sciences ( RBHS ) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and five centers and institutes that focus on cancer treatment and research, neuroscience, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. Our clinical and academic facilities are located throughout the state—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark’s University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives. Posting Summary Rutgers, The State University of New Jersey is seeking a Manager of Data Administration for the Institute for Health Survey / Data Core. The primary purpose of the Manager of Data Administration is to manage existing large health insurance claims databases, help develop more efficient use and processes of Core data, and assist with project-specific data management and analysis as needed. The Data Manager will be proficient with using SAS and other software packages and be able to write and review programming code that manages, cleans, and analyzes large, complex healthcare datasets. Among the key duties of this position are the following: Manages the integration, cleaning, and quality checks of new and updated data, ensuring compliance with data standards and thorough documentation. Incorporates new data and updates to existing data into the Core to make data ready for storage and research, including decryption, extraction, management, cleaning, conduct of quality checks, and creation or updating of documentation Supervisory support of analytical staff; supervises users of the Core, ensuring adherence to established Core data management and utilization policies. Works with leadership team to provide updates to and expand the Core’s service offerings Establishes data governance policies and promotes best practices to maintain data integrity, security, and compliance. Develops new approaches to improve the efficiency of the management and analysis of Core data. Creates data cuts and assists with data preparation for faculty, staff, and student users using Core data Develops guidance on best practices for use of Core data and computing resources Designs and leads training and research support for faculty, staff, and students using Core data and resources Keeps abreast of all pertinent federal, state and Rutgers regulations, laws and policies as they presently exist and as they change or are modified. FLSA FLSA Exempt Grade Grade 30S Salary Details Minimum Salary Minimum Salary 105763.000 Mid Range Salary 133789.000 Maximum Salary Maximum Salary 161814.000 Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent. Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include: Medical, prescription drug, and dental coverage Paid vacation, holidays, and various leave programs Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options Employee and dependent educational benefits (when applicable) Life insurance coverage Employee discount programs Position Status Full Time Working Hours 37.5 Standard Hours 37.50 Work Arrangement Consistent with the current application of Rutgers Policy 60.3.22 or the applicable provisions of relevant collective negotiations agreements, this position may be eligible for a hybrid work arrangement. Flexible work arrangements are not permanent, are subject to change or discontinuation, and contingent on the employee receiving approval in the View email address on click.appcast.io Application System. Payroll Designation PeopleSoft Union Description MPSC - Legacy UMD Terms of Appointment Staff - 12 month Position Pension Eligibility ABP Qualifications Minimum Education and Experience Master’s degree in a related scientific field with a minimum of 3 years of experience working with large claims datasets, electronic health record data, or other large healthcare datasets, including data management and analysis; OR a Bachelor’s degree in a related scientific field with a minimum of 5 years of experience working with large claims datasets, electronic health record data, or other large healthcare datasets, including data management and analysis. Equivalent education, experience, and/or training may be substituted for the degree requirements. Two years of supervisor experience. Certifications/Licenses Required Knowledge, Skills, and Abilities Ability to conduct data analysis, data linkage, and to work with complex datasets. High level of computer literacy including Microsoft Office Suite and data querying tools. Extensive knowledge of data management and analysis in SAS . Excellent project management, time management, communication, interpersonal, decision making, analytic, and reporting skills. Able to work with a wide range of individuals with diverse backgrounds and perspectives on data usage including faculty, staff, trainees, and senior administrators Physical Demands and Work Environment PHYSICAL DEMANDS : No significant physical demands. Must be ale to exert force up to 35 pounds. WORK ENVIRONMENT : No significant exposures or noise levels. Office /Laboratory/Clinical environment. Home Location Campus Rutgers University - New Brunswick State NJ Supplemental Questions Required fields are indicated with an asterisk (*). * Do you have aMaster’s degree in a related scientific field with a minimum of 3 years of experience working with large claims datasets, electronic health record data, or other large healthcare datasets, including datamanagement and analysis; OR a Bachelor’s degree in a related scientific field with a minimum of 5 yearsof experience working with large claims datasets, electronic health record data, or other large healthcaredatasets, including data management and analysis. Equivalent education, experience, and/or training maybe substituted for the degree requirements? Yes No * Do you have at least two years of supervisory experience? Yes No * Do you have extensive knowledge of data management and analysis in SAS? Yes No Required Documents Resume/CV Optional Documents Cover Letter/Letter of Application In compliance with the Americans with Disabilities Act (ADA) and the New Jersey Law Against Discrimination (NJLAD), if you have a disability and would like to request an accommodation with regard to your access to and/or your participation in the application and selection processes (for example, the online application process or interviews), please call View phone number on click.appcast.io or e-mail us . Rutgers University is an equal access/equal opportunity institution. If you have trouble accessing this page because of a disability, please contact us at View phone number on click.appcast.io or via email at View email address on click.appcast.io . Rutgers University participates in the E-Verify program as required by law. Learn more about the E-Verify program . 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