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 five centers and institutes that focus on cancer treatment and research, neuroscience, 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—at Rutgers University–New Brunswick, including Piscataway; and at locations in Newark, Scotch Plains, Somerset, Stratford, and other locations. Clinical partners include Robert Wood Johnson University Hospital in New Brunswick, Newark’s University Hospital in Newark, and other affiliates.

Through this community of healers, scientists, and scholars, Rutgers is equipped as never before to transform lives.

Rutgers, The State University of New Jersey, is seeking a Research Associate III for the Institute for Health (IFH) within the Institute for Health, Health Care Policy and Aging Research. Under the direction of the Director of the Center for Health Services Research (CHSR), the Associate Director for Research of CHSR, and/or senior data analysts, the Research Associate III provides 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. Works 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 workplans 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;

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.