Position Details
Position Information
| Recruitment/Posting Title |
Research Project Manager |
| Job Category |
Staff & Executive - Research (Laboratory/Non-Laboratory) |
| Department |
Institute for Health, Health C |
| 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 Project Manager for the Center for Pharmacoepidemiology and Treatment Science. The Research Project Manager at the Center for Pharmacoepidemiology and Treatment Science serves as Lead Analyst for multiple large, complex health services research studies involving longitudinal modeling of extremely large healthcare datasets in support of multiple research grants funded by
NIH and other competitive funders. The Research Project Manager will develop and implement statistical approaches to data analysis and modeling of exposures, treatments, and healthcare outcomes, serving as a core member of investigative teams for several major pharmacoepidemiologic studies, and providing biostatistical expertise and support to interdisciplinary study teams.
Among the key duties of the position are the following:
- Provides biostatistical consultation and expertise to research teams.
- Collaborates with faculty investigators in planning and implementing complex pharmacoepidemiologic analyses.
- Manages and cleans large healthcare datasets incorporating millions or billions of records.
- Assists with preparation of scientific abstracts and journal articles reporting results, along with related project documents.
- Assists with the development of funding applications to extend current lines of research.
- Takes the lead on the data management and analysis of assigned projects including both electronic health record (EHR) and health care claims data.
- Provides project management to assure timely completion of analyses and paper timelines, keeping other project team members informed about the progress of analyses and results.
- Contributes as a co-author for abstracts and publications of original, high-quality scholarship.
- Collaborates on the development of dissemination documents to communicate research results to a range of audiences.
- Demonstrates a high level of initiative and ability to work independently.
|
| FLSA |
Exempt |
| Grade |
07 |
| Salary Details |
|
| Minimum Salary |
94492.000 |
| Mid Range Salary |
119604.000 |
| Maximum Salary |
144715.000 |
| 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 |
|
| 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, subject to change or discontinuation, and contingent on the employee receiving approval in the FlexWork@RU Application System. |
| 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 scientific field or discipline, or an equivalent combination of education and/or experience that demonstrates comprehensive knowledge and understanding of general research principles and practices.
- A minimum of five years of relevant professional research experience, which should include at least two years of experience with managing and analyzing large datasets.
|
| Certifications/Licenses |
|
| Required Knowledge, Skills, and Abilities |
- Excellent communication skills.
- Computer literacy.
- Excellent skills in planning and organizing data, information, and resources as well as in information integration, independent decision-making, and attaining results.
- Substantial experience conducting sophisticated statistical analyses of large, complex datasets including experience with SAS, R, and/or Stata, statistical modeling, and health care informatics.
- Ability to understand the federal privacy regulations, be aware of the function, operation, and importance of the IRB and human subjects protections.
|
| Preferred Qualifications |
- Master's degree in Biostatistics, Epidemiology, Economics, Statistics, or related eld
- Minimum of 3 years of experience in the application of biostatistical methods to clinical or population health research.
- Experience with biostatistical methods appropriate to pharmacoepidemiologic studies including survival analysis, proportional hazards modeling, and multilevel modeling.
- High level of expertise in the use of SAS for data management and biostatistical analysis of administrative claims or electronic health records data to address health services research questions.
- Familiarity with SQL.
- Experience with analytic methods for analysis of healthcare data, including definition of index events, construction of lookback periods, and longitudinal analysis of outcomes within episodes.
|
| Equipment Utilized |
- Advanced use of statistical and analytic tools in SAS and other analytic software.
- Microsoft Oce products.
|
| Physical Demands and Work Environment |
|
| Special Conditions |
|
Posting Details
| Posting Number |
26ST2056 |
| Posting Open Date |
10/28/2026 |
| 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
94492.000-144715.000
life insurance, employee discount
Oct 28, 2026