Research Analyst

Job Category

Staff & Executive – Research (Laboratory/Non-Laboratory)

Overview

Rutgers, The State University of New Jersey, is a leading national research university and the State of New Jersey’s preeminent, comprehensive public institution of higher education. As one of the largest employers in the State of New Jersey, Rutgers University is committed not only to the students and the State that we serve, but also to the faculty and staff who work on our campuses.

For two consecutive years, Rutgers is ranked on Forbes’ list of America’s Best Large Employers. Rutgers holds #64 of 500 employers and is the #1 New Jersey employer on the publication’s 2023 list. Rutgers’ commitment to its employees includes maintaining and fostering a safe, diverse, and respectful workplace environment, creating employment opportunities for our nation’s military veterans, and ensuring accessibility and accommodation for individuals with disabilities.

Posting Summary

Rutgers, The State University of New Jersey is seeking a Research Analyst for the Center for State Health Policy within the Rutgers Institute for Health, Health Care Policy & Aging Research.

Among the key duties of the position are the following:

• Provides data-analytic support to a large program of research.
• Constructs statistically advanced programs in SAS and other software to allow analysis of data from large and sensitive healthcare administrative datasets and population-based surveys.
• Works with investigators and senior staff to implement statistical programming and data analyses for population health research.

FLSA: Exempt

Grade: 06

Minimum Salary

82166.000

Mid Range Salary

104002.000

Maximum Salary

125837.000

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

Standard Hours: 37.50

Work Arrangement

Consistent with the current application of Rutgers Policy 60.3.22, this position may be eligible for a hybrid work arrangement.

The flexible work arrangements outlined in Rutgers Policy 60.3.22 are part of a pilot program that is effective September 1, 2022 through August 31, 2023. Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date. Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https://futureofwork.rutgers.edu.

Union Description: Admin Assembly (MPSC)

Payroll Designation: PeopleSoft

Terms of Appointment: Staff – 12 month

Position Pension Eligibility: ABP

Minimum Education and Experience

• Bachelor’s degree in a related field and five years of data management and analysis experience in a social science, health services, or policy environment and/or training in advanced research methods or an equivalent combination of education and/or experience.

Required Knowledge, Skills, and Abilities

• Exceptional organizational skills with a keen eye for detail and accuracy.
• Proficiency with SAS statistical software and advanced knowledge of Microsoft Excel.
• Ability to build and/or adapt complex programs (e.g., hospital quality and patient safety measures) for innovative uses.
• Ability to understand and revise sophisticated bio-statistical programming.
• Ability to effectively interpret supervisor’s directions and communicate progress and problems in a timely way.
• Capacity to create visually appealing and understandable presentation of data.
• Ability to work productively and cooperatively with project team members in a highly collaborative, supportive environment.
• Ability to develop and maintain clear and organized methodological documentation.
• Strong interpersonal, written and oral communication skills.
• Exceptional time management skills.
• Ability to effectively prioritize and manage multiple projects and deadlines.
• Ability to exercise sound judgement in making critical decisions.
• Strong “data hygiene” skills with an understanding of best practices for validating his/her own programs and output.
• Ability to replicate and validate the work of other analysts.
• Strong work ethic and problem-solving skills and who takes initiative and enjoys making sense of complex data.
• Strong collaborator, with the ability and motivation to progress rapidly in assimilating and applying advanced techniques in statistical analysis and programming.

Preferred Qualifications

• Master’s degree in statistics, epidemiology, public health or related field .
• Experience working with complex survey data, hospital or other healthcare provider billing/EHR data, Medicaid/Medicare claims and other health utilization data.
• Proven ability to work with the processes and technologies of other large administrative data sets.
• Experience calculating NCQA HEDIS quality measures or other similar healthcare quality indicators (i.e. AHRQ Quality Indicators).
• Extensive knowledge of data management and manipulation using one of the following tools: Excel, SQL, Python, R, SAS, STATA, geographic mapping software or other business/data analytics tool.
• Ability to analyze and report data using statistical and Business Intelligence tools such as Tableau (Server and Prep), SAP BI.

Equipment Utilized

• Microsoft Office products.
• Software packages such as SAS, SPSS, R, Stata and other specialized software for statistical programming and complex data manipulation.

Special Conditions

• Multiple Vacancies.

Posting Open Date: 10/02/2025

Regional Campus: Rutgers University-New Brunswick

Home Location Campus: Rutgers University – New Brunswick

City

New Brunswick

State

NJ