Position Details
Position Information
| Recruitment/Posting Title |
Manager Data Administration |
| Job Category |
Staff & Executive - Healthcare - Other |
| Department |
Institute for Health, Health C |
| Overview |
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.
- 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.
|
| FLSA |
Exempt |
| Grade |
30S |
| Salary Details |
|
| Minimum Salary |
105763.000 |
| Mid Range Salary |
133789.000 |
| 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. |
| Benefits |
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 |
| Daily Work Shift |
|
| 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 FlexWork@RU Application System. |
| Union Description |
MPSC - Legacy UMD |
| Payroll Designation |
PeopleSoft |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| Minimum Education and Experience |
- Bachelor's Degree in a related field.
- 3 + years experience in data management and understanding data structure.
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Knowledge of data management and analysis in SAS.
- Project management, time management, communication, interpersonal, decision making, analytic, and reporting skills.
- Equivalent experience, education and/or training may be substituted for the educational requirements.
|
| Preferred Qualifications |
- Masters' 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.
- 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.
- Able to work with a wide range of individuals with diverse backgrounds and perspectives on data usage including faculty, staff, trainees, and senior administrators.
|
| Equipment Utilized |
|
| 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. |
| Special Conditions |
|
Posting Details
| Posting Number |
26ST1491 |
| Posting Open Date |
|
| Special Instructions to Applicants |
|
| Regional Campus |
Rutgers University-New Brunswick |
| Home Location Campus |
Rutgers University - New Brunswick |
| City |
New Brunswick |
| State |
NJ |
| Location Details |
|
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
Rutgers University
life insurance, employee discount
Jul 09, 2026