Research - Laboratory/Non-Laboratory, Staff/Administrative
Rutgers, The State University of New Jersey is seeking a Research Analyst at the Center for Pharmacoepidemiology and Treatment Science (PETS). This position provides the Research Analyst with hands on experience conducting and assisting in research using large administrative databases on studies led by PETS faculty and collaborators. The Research Analyst maintains and further develops competence in data programming and analysis of large relational databases and in pharmacoepidemiologic methods under the mentorship of PETS faculty and collaborators. The position reports to PETS Director. The Research Analyst is expected to be able to work collaboratively with PETS faculty and staff on relevant aspects of PETS research studies, including: writing of statistical analysis plans (SAP), creation of analytic datasets, conduct of analyses of data, drafting of methods and results sections of manuscripts and reports, participation in regular study progress meetings, interpretation of study results, and communication of study results in written and oral format. The Research Analyst has opportunities for their work to be published in scientific journals and for further development of their data analytic and pharmacoepidemiologic methods skills under the guidance of Dr. Gerhard and other staff and faculty at and affiliated with PETS.
Among the key duties of this position are the following:
Develops and maintains statistical analysis plans and documentation.
Provides data-analytic support to a large and complex program of research.
Develops statistically advanced programs in SAS and other software to allow analysis of data from large and sensitive local, regional, and national healthcare datasets.
Works with investigators and center staff to implement sophisticated, longitudinal statistical programming and data analyses for health services research and outcomes studies evaluating the use and effects of pharmacological and other healthcare treatments, utilizing national and state healthcare databases including Medicaid, Medicare, private insurance, Clinical Practice Research Datalink, and other datasets reflecting healthcare encounters on very large patient populations (tens of millions of individuals followed over multiple years).
Participates in implementing federally funded pharmacoepidemiologic studies and in development of publications reporting results.
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;Applies and interprets appropriate statistical modeling methods.
Develops and maintains analytic work plans and documentation.
Participates in preparation of results for journal publication.
Minimum Education and Experience:
Requires a bachelor's degree in a related scientific field or discipline, or an equivalent combination of education and/or relevant experience that demonstrates comprehensive knowledge and understanding of general research principles and practices, data analysis, statistical methods, and programming in relevant databases.
Requires a minimum of five years of relevant professional research experience.
Required Knowledge, Skills, and Abilities:
Experience working with large administrative datasets in a research setting
Experience with SAS and in analysis of health care claims data
Candidate should have a strong work ethic and problem-solving skills, be a good collaborator, and work well in a fast paced environment
Candidate will need to be well organized and have good time management skills to conduct analyses efficiently and expeditiously while maintaining a high level of accuracy
Excellent written and oral communication skills are required for understanding data and programming requirements, and reporting results to team leadership and colleagues
A doctorate degree in pharmacoepidemiology, epidemiology, biostatistics or related fields or a master's degree with equivalent knowledge and skills
Experience working with healthcare claims
SAS Base/Advanced Programming training/certification
Experience with techniques such as propensity scoring and event history analysis
Knowledge of health care data standards and codes, e.g., ICD-9/ICD-10, CPT/HCPCS, National Drug Codes, and elements of claims data
Experience with or knowledge/skills in healthcare data management/medical informatics
Experience working with Medicare and Medicaid databases or other claims databases
Microsoft Office products
Software packages such as SAS, SPSS, R, Stata and other specialized software for statistical programming and complex data manipulation
Posting Number: 19ST3840
Location: College Ave (RU-New Brunswick)
Internal Number: 99321
About Rutgers University
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.