Research Project Manager

Research Project Manager

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 -

Mid Range Salary -

Maximum Salary -

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 Flex Work@RU Application System.

Union Description
- Admin Assembly (MPSC)

Payroll Designation
- People Soft

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 field Minimum of 3 years of experience in the application of biostatistical methods to clinical or population health research. Experience…