Position Details
Position Information
| Recruitment/Posting Title |
Research Analyst |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| Department |
Center for State Health Policy |
| 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 |
| Salary Details |
|
| 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 offers a comprehensive benefits package to eligible employees, based on position, which includes:
- 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
- Life insurance coverage
- Employee discounts programs
For detailed information on benefits and eligibility, please visit:
http://uhr.rutgers.edu/benefits/benefits-overview. |
| Position Status |
Full Time |
| Working Hours |
|
| Standard Hours |
37.50 |
| Daily Work Shift |
|
| 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 |
| Seniority Unit |
|
| Terms of Appointment |
Staff - 12 month |
| Position Pension Eligibility |
ABP |
Qualifications
| 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.
|
| Certifications/Licenses |
|
| 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.
|
| Physical Demands and Work Environment |
|
| Special Conditions |
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Posting Details
| Posting Number |
25ST2121 |
| Posting Open Date |
10/02/2025 |
| 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. Affirmative Action/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 value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement |
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