Post-Doctoral Fellow

Rutgers University

United States, New Jersey, New Brunswick

Nov 17, 2024

Position Details

Position Information

Recruitment/Posting Title	Post-Doctoral Fellow
Job Category	Staff & Executive - Research Support (Laboratory/Non-Laboratory)
Department	Inst-Hth,Hth Care Pol&Agng Res
Overview	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.
Posting Summary	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.
Position Status	Full Time
Hours Per Week
Daily Work Shift
Work Arrangement
FLSA	Exempt
Grade	99S
Position Salary
Annual Minimum Salary	0.000
Annual Mid Range Salary	0.000
Annual Maximum Salary	0.000
Standard Hours	37.50
Union Description	AAUP
Payroll Designation	PeopleSoft
Benefits	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.
Seniority Unit
Terms of Appointment	Staff - 12 month
Position Pension Eligibility	ABP

Qualifications

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.
Certifications/Licenses
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. WORK ENVIRONMENT: 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	22ST3750
Posting Open Date
Special Instructions to Applicants
Regional Campus	Rutgers Biomedical and Health Sciences (RBHS)
Home Location Campus	Downtown New Brunswick
City	New Brunswick
State	NJ
Location Details

Pre-employment Screenings

All offers of employment are contingent upon successful completion of all pre-employment screenings.

Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

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