Research Analyst

Research Analyst

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.

Rutgers, The State University of New Jersey, is seeking a Research Analyst to join the Center for Pharmacoepidemiology and Treatment Science (PETS) within the Rutgers Institute for Health, Health Care Policy and Aging Research. Established in 2017, PETS facilitates and conducts innovative, multidisciplinary research focused on the use and outcomes of therapeutics and diagnostics in large populations. Its mission is to advance pharmacoepidemiology and related fields through world-class research and high-quality training. PETS brings together faculty and collaborators from Rutgers and external academic, industry, and regulatory organizations with expertise spanning epidemiology, biostatistics, biomedical informatics, clinical medicine, economics, and the social sciences.

The Research Analyst will provide data-analytic support for a large portfolio of population health research and work closely with investigators and senior staff to implement statistical programming and analyses using SAS and other analytical software. The incumbent will develop and maintain sophisticated programs to analyze large, sensitive healthcare administrative databases and population-based survey data. Research activities will involve highly complex "big data" resources, including Medicare, Medicaid, and other healthcare datasets containing hundreds of millions of records, with the goal of generating evidence to inform therapeutic decision-making and health policy.

Several key duties of this position are provided below:

• Prepares, manages, and documents large healthcare claims, electronic health record, survey, and other research datasets.
• Conducts routine and advanced statistical programming and analyses using SAS and other analytic software.
• Contributes to cohort construction, variable creation, data quality assessment, and analytic dataset development.
• Performs data validation and quality control activities to ensure accuracy, completeness, and reliability of research data.
• Supports data linkage and integration activities across multiple complex data sources.
• Develops tables, figures, visualizations, and analytic summaries for manuscripts, presentations, grant applications, and reports.
• Collaborates with investigators and research staff to interpret findings and support study objectives.
• Maintains organized code, datasets, and documentation to support reproducibility and compliance requirements.
• Contributes to the testing and implementation of analytic tools, databases, and research infrastructure.
• Assists with preparation of manuscripts, progress reports, grant materials, and other scientific deliverables.
• Supports compliance with IRB requirements, Data Use Agreements, and applicable privacy and security regulations.
• Participates in research dissemination activities, including presentations, publications, and conference submissions.
• Stays current with developments in statistical programming, healthcare data resources, and research methods.
• Performs other related duties as assigned.

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 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 View email address on click.appcast.io 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 analytical or scientific field; or an equivalent combination of education and relevant experience. A minimum of five (5) years of experience working with large datasets, supporting data management and data analysis, or research operations in an academic, healthcare, research, or public sector environment.

Certifications/Licenses

Required Knowledge, Skills, and Abilities - Foundational knowledge of data management principles, including data cleaning, documentation, quality control, and dataset organization. Demonstrated ability to work with large, complex datasets, including administrative, clinical, survey, or other secondary data sources. Experience conducting routine and intermediate quantitative analyses using statistical or analytical software such as SAS, R, Stata, SQL, GIS or comparable tools, as well as advanced analyses under the guidance of senior analysts or investigators. Ability to prepare tables, figures, summaries, and data visualizations to support research reports, manuscripts, grant applications, and presentations. Working knowledge of research compliance requirements relevant to human subjects research, including data privacy, confidentiality, and Institutional Review Board (IRB) standards. Proficiency in Microsoft Office applications, including Word, Excel, PowerPoint, and Outlook. Strong organizational skills with attention to detail and accuracy, particularly in maintaining datasets, analytic files, documentation, and version control. Effective interpersonal, written, and verbal communication skills, with the ability to collaborate productively with faculty, analysts, project staff, and administrative partners. Demonstrated ability to manage multiple tasks, prioritize workload, meet deadlines, and adapt to changing project needs in a fast‑paced research environment. Ability to work independently on assigned tasks while seeking guidance as appropriate and contributing as part of a collaborative research team. Commitment to maintaining a professional demeanor and performing work consistent with the mission, values, and priorities of the PETS Center and Rutgers Health

Preferred Qualifications - Master's degree in public health, epidemiology, biostatistics, data science, health informatics, or a related scientific or analytical field. Experience working with healthcare‑related datasets, including claims, electronic health records, or large population‑based data. Familiarity with pharmacoepidemiology, health services research, outcomes research, or observational study designs.

Equipment Utilized - Office computer and standard office equipment. Statistical and analytic software (e.g., SAS, R, Stata, SQL, GIS or similar). Microsoft Office products (Word, Excel, PowerPoint, Outlook). Secure data storage, computing environments, and research data systems as required.

Physical Demands and Work Environment - PHYSICALDEMANDS: Standing, sitting, walking, talking, hearing, and typing. No special vision requirements. Lifting up to 25 lbs. Light physical activity possible. Office environment. Moderate noise.