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Post-Doctoral Fellow
Rutgers University in New Brunswick, New Jersey
Date Posted 05/26/2022
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled

Position Details
Position Information

Recruitment/Posting Title Post-Doctoral Fellow
Job Category Staff & Executive - Research (Laboratory/Non-Laboratory)
Department Inst-Hth,Hth Care Pol&Agng Res
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 Post-Doctoral Fellow 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; interfaces with scientific collaborators and their teams at other institutions; and drafts reports of analytic results. The Fellow will participate in the writing of research papers and contribute to 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.
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
Position Status Full Time
Hours Per Week
Daily Work Shift
FLSA Exempt
Grade 99S
Position Salary
Annual Minimum Salary
Annual Mid Range Salary
Annual Maximum Salary
Standard Hours 37.50
Union Description Non-Union
Payroll Designation PeopleSoft
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 None


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.
  • Experience conducting longitudinal analysis with “big data” datasets such as insurance claims and other administrative records.
Required Knowledge, Skills, and Abilities
  • 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.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
PHYSICAL DEMANDS: Position primarily involves desk/computer work. Must have the ability to communicate with other researchers and staff in person, and via virtual meeting software (Zoom, Teams, WebEx, etc), phone, and email.
No significant exposures or noise levels. Office environment
Special Conditions
The position requires 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 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 in support of large observational healthcare studies.

Posting Details

Posting Number 22ST1452
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

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