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Rutgers, The State University of New Jersey calls application for Postdoctoral Fellowship for the Institute for Health (IFH) at 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 incumbent 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.
Candidate on this Postdoctoral Fellowship at Rutgers University 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.
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 datasets.
Candidates with the following qualifications are eligible for this Postdoctoral Fellowship at Rutgers University
Doctoral degree in a data science field, biostatistics, bioinformatics, epidemiology, or related field.
High-level expertise in use of statistical software such as SAS, Stata, R, Python, or similar data analytic software.
Detail-oriented, entrepreneurial, adaptable, and innovative.
Ability to collaborate on complex projects with multiple stakeholders.
Strong skills in written and verbal communication.
Flexible and efficient in a fast-paced academic environment.
High-level skills in statistical analysis and research methodology including epidemiological and health services research methodology, statistical programming, longitudinal analysis of healthcare claims data, developing and testing statistical models of healthcare utilization and outcomes, methods for the analysis of “big data” in healthcare encompassing billions to trillions of records, statistical testing, survival analysis, machine learning, and other data science and statistical techniques.
Rutgers, The State University of New Jersey, commonly referred to as Rutgers University, or RU, is an American public research university in New Jersey. Overall, it is the largest institution of higher education in New Jersey.