Position Details
Position Information

Recruitment/Posting Title	Research Associate III
Job Category	Staff & Executive - Research (Laboratory/Non-Laboratory)
Department	Inst-Hth,Hth Care Pol&Agng Res
Overview	New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes that focus on cancer treatment and research, neuroscience, clinical and translational research, advanced biotechnology and medicine, environmental and occupational health, and health care policy and aging research. Our faculty are teachers, clinicians, and scientists with unparalleled experience who advance medical innovation and provide patient care informed by the latest research findings. We offer an outstanding education in medicine, dentistry, pharmacy, public health, nursing, biomedical research, and the full spectrum of allied health careers. Our clinical and academic facilities are located throughout the state including New Brunswick, Piscataway, Newark, Scotch Plains, Somerset, Blackwood, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, University Hospital in Newark, and other affiliates. Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.
Posting Summary	Rutgers, The State University of New Jersey is seeking a Research Associate III in Health Care Policy and Aging Research at Institute for Health. The incumbent will provide data-analytic support to a large and complex program of federally funded research and will construct statistically advanced programs in SAS and other software to link and analyze large and complex health care datasets, including national Medicaid and Medicare insurance claims, private insurance claims, National Death Index data, and other sources representing tens of millions of individuals followed over multiple years. The incumbent will work with Center investigators, senior staff and collaborators to implement sophisticated, longitudinal statistical programming and data analyses for health services research and outcomes studies evaluating the delivery, utilization, and outcomes associated with prescription drugs and health care provided across a range of settings, including inpatient, outpatient, and nursing facilities. Analyses will include application of advanced techniques in SAS software for longitudinal data analysis, data linkage across large datasets, construction of medication supply calendars and other measures of health care use over time, reporting descriptive statistics, and statistical modeling of outcomes. The Research Associate III will clean and manage data, including conducting quality control analyses; create and maintain analytic work plans and documentation; construct analytic variables; apply appropriate statistical modeling methods; and participate in the interpretation and preparation of results for publications and presentations. The position requires high-level skills in data management and statistical programming, with expertise in SAS programming and strong experience with very large datasets, preferably entailing longitudinal analyses and application of advanced statistical methods. Experience in longitudinal analysis of health outcomes using healthcare claims data is highly desirable. Other highly desirable experience includes experience with propensity score matching, analysis of electronic medical record data, and/or experience with machine learning methods. Qualified candidates will have advanced problem-solving skills, experience working both independently and collaboratively, a strong interest in using complex data to address important health services and policy research questions, an organized and detail-oriented approach to balance and prioritize multiple simultaneous projects, and motivation to advance the level technical skills needed to increase expertise with longitudinal, multi-level, machine learning, and geospatial methods in the secondary data analysis of large health care data. Among the key duties of this position are the following: Employs appropriate statistical methods for research. Performs data transformations and linkages, creates and manages analytic datasets and variables, develops and tests programming code. Constructs measures of healthcare encounters, diagnoses, and outcomes from healthcare claims data. Identifies index events for episode of care analyses and conducts event history analyses of hazards of outcomes following index events, adjusting or matching for diagnostic and health histories. Prepares statistical tables and charts, presents results, and composes detailed documentation of methods and analyses for research records and dissemination of findings. Develops and implement quality and consistency checking processes for data completeness, validity, and analytic results; checks and cleans data; cross-checks programming and results from other analysts for quality control. Assists in the preparation of data analysis plans and evaluates their feasibility for grant proposals; runs preliminary or pilot analyses to support senior staff/faculty in grant planning and development, including statistical power analyses. Researches strategies for methods and measures from relevant literature and incorporates in applications. Conducts power calculations for applications. Prepares human subjects sections for applications incorporating estimates of relevant study populations and demographics, supporting power calculations. Performs descriptive analyses for reporting and compliance requirements such as those needed for data use agreements, IRB applications, and regular reports to funding agencies. Researches, documents and runs analyses to evaluate suitability of data sources and elements for potential projects. Provides accurate and timely results of data analyses to meet project timelines and deadlines for deliverables. Prepares methodological and results sections of publications and reports.
Position Status	Full Time
Hours Per Week
Daily Work Shift
FLSA	Exempt
Grade	18S
Position Salary
Annual Minimum Salary	47546.000
Annual Mid Range Salary	56638.000
Annual Maximum Salary	66750.000
Standard Hours	37.50
Union Description	HPAE, Local 5094
Payroll Designation	PeopleSoft
Benefits	Rutgers offers a comprehensive benefit program to eligible employees. For details, please go to http://uhr.rutgers.edu/benefits/benefits-overview . Rutgers also offers a benefit program to eligible full-time postdoctoral fellow students. For details, please go to https://finance.rutgers.edu/healthcare-risk/insurance/postdoctoral-health-insurance.
COVID-19 Immunization Requirement	Under Policy 60.1.35 , Rutgers University requires all prospective employees to provide proof that they are fully vaccinated and have received a booster (where eligible) against COVID-19 prior to commencement of employment, unless the University has granted the individual a medical or religious exemption.  Prospective employees who are not eligible for a booster at the time of an offer of employment must provide proof they have received a booster within two weeks (14 calendar days) of eligibility .  Based on current guidance, individuals are considered fully vaccinated against COVID-19 two weeks after receiving the final dose of any COVID-19 vaccine authorized or approved for use in the United States by the United States Food and Drug Administration (FDA) and recommended by the Advisory Committee on Immunization Practices (ACIP) of the Centers for Disease Control and Prevention (CDC).  Eligibility for a booster against COVID-19 varies and is explained on the University’s web site located at https://coronavirus.rutgers.edu/covid-19-vaccine .  Failure to provide proof of primary vaccination and booster will result in rescission of a prospective employee’s offer of employment and/or disciplinary action up to and including termination.
Seniority Unit
Terms of Appointment	Staff - 12 month
Position Pension Eligibility	ABP

Qualifications

Minimum Education and Experience
Certifications/Licenses
Required Knowledge, Skills, and Abilities	Master’s degree in biostatistics, epidemiology, statistics, social science, policy analysis, public health, or related field or a Bachelor degree plus two (2) years of experience in data analysis, programming, and research. Experience writing statistical programs to process and analyze large, complex datasets Expertise with SAS, minimum of one year with more years preferred Excellent written and oral communication skills Close attention to detail, well organized High degree of computer literacy
Preferred Qualifications	SAS certification SAS Macro and Proc SQL experience Experience analyzing health care claims data for health services research Knowledge of health care data standards, formats and codes Experience with health care management/medical informatics
Equipment Utilized
Physical Demands and Work Environment	PHYSICAL DEMANDS: No significant physical demands. WORK ENVIRONMENT: No significant exposures or noise levels. Office environment.
Special Conditions

Posting Details

Posting Number	22ST1583
Posting Open Date
Special Instructions to Applicants
Regional Campus	Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus	Downtown New Brunswick
Location Details	New Brunswick, New Jersey

Pre-employment Screenings

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Infection Control and Safety

This position is subject to all Rutgers University policies, including TB surveillance and other infection control and safety policies. Please review the Tuberculosis Surveillance Policy for additional information.

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