Rutgers, The State University of New Jersey is seeking a Post-Doctoral Fellow within the Institute for Health, Health Care Policy and Aging Research.
Under the direction of the Director, Associate Director, Principal Investigators, and/or senior Research Project Managers, the Post-Doctoral Fellow will implement complex statistical analyses of health care claims data including millions of Medicare and Medicaid claims and other research data; interface with scientific collaborators and their teams at other institutions, and draft reports of analytic results. The Fellow will participate in the writing of research papers and contribute to the development of study progress/final reports as appropriate. Mentoring will be provided in the further development of advanced expertise in healthcare data analysis, longitudinal modeling, advanced statistical programming techniques, and high-level analysis of healthcare claims data. Opportunities will be provided to complement the job training experience with selected coursework in statistical analysis, research methods, and related topics, as mutually agreed upon between the candidate and the center director.
Among the key duties of this position are the following:
Works with investigators and senior Center staff to implement sophisticated, longitudinal statistical programming and data analysis for health services research and outcomes studies evaluating the use and effects of pharmacological and other healthcare treatments, utilizing national and data healthcare databases including national Medicaid/Medicare, nursing home, private insurance, and other datasets reflecting healthcare encounters on very large patient populations (tens of millions of individuals followed over multiple years).
Applies advanced techniques in SAS software for longitudinal data analysis, data linkage across large datasets, construction of medication use calendars, and statistical modeling of outcomes.
Contributes to or leads manuscripts for publication in scientific journals including methodology, development of tables & figures, and text summarization of results.
Provides data-analytic support to a large and complex program of research.
Constructs statistically advanced programs in SAS and other analytic software for analysis of data from large and sensitive national healthcare dataset.
Applies and interprets appropriate statistical modeling methods.
Participates in implementation of federally funded health services research studies.
Minimum Education and Experience:
Doctoral degree in a biostatistics, bioinformatics, epidemiology, health, data, or other related field.
High level expertise in use of statistical software such as SAS, Stata, R, Python or similar data analytic software.
Rutgers, The State University of New Jersey, is a leading national public research university and the state's preeminent, comprehensive public institution of higher education. Rutgers is dedicated to teaching that meets the highest standards of excellence; to conducting research that breaks new ground; and to turning knowledge into solutions for local, national, and global communities. As it was at our founding in 1766, the heart of our mission is preparing students to become productive members of society and good citizens of the world. Rutgers teaches across the full educational spectrum: preschool to precollege; undergraduate to graduate and postdoctoral; and continuing education for professional and personal advancement. Rutgers is New Jersey's land-grant institution and one of the nation's foremost research universities, and as such, we educate, make discoveries, serve as an engine of economic growth, and generate ideas for improving people's lives.