Data Analyst/Virtual Consultant

1 week ago


New Brunswick, Canada Rutgers University Full time

Rutgers, The State University of New Jersey, is distinguished in its many efforts to advance health and wellness, and its broad reach, diversity, and expertise provides opportunities to address a wide array of health challenges.

The Institute for Health, Health Care Policy and Aging Research ( IFH ) facilitates collaboration among the social and behavioral sciences, clinical disciplines, basic sciences and related fields to promote research on critical population health issues.

Tobias Gerhard serves as the director of IFH and brings together scholars across and beyond Rutgers into a vibrant interdisciplinary network that advances high quality research in core areas:

Social and Cultural Determinants of Health
State Health Policy
The Institute communicates with many diverse audiences, including Rutgers faculty and students, government agencies (U.S. and abroad), nongovernmental organizations in various regions of the world, industries, foundations, and individual donors.

Rutgers, The State University of New Jersey, is seeking a Data Analyst in Health Services Research/ HEOR in the Center for Health Services Research at the Institute for Health, Health Care Policy and Aging Research.

Under the director of the Director of the Center for Health Services Research ( CHSR ) and/or senior data analysts, the incumbent will provide data-analytic support to a large and complex program of federally funded research and will construct statistically advanced programs in SAS and other software to link and analyze large and complex health care datasets, including national Medicaid and Medicare insurance claims, private insurance claims, National Death Index data, and other sources representing tens of millions of individuals followed over multiple years.

Works with Center investigators, senior staff and collaborators to implement sophisticated, longitudinal statistical programming and data analyses for health services research and outcomes studies.

Analyses will include application of advanced techniques in SAS software for longitudinal data analysis, data linkage across large datasets, construction of medication supply calendars and other measures of health care use over time, reporting descriptive statistics, and statistical modeling of outcomes.

Cleans and manages data, including conducting quality control analyses.
Daily Work Shift

Consistent with the current application of Rutgers Policy 60.The flexible work arrangements outlined in Rutgers Policy 60.Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date.

Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the Application System.

Payroll Designation
Payroll Designation PeopleSoft
Terms of Appointment Temporary Staff Appointment - Hourly
Master's degree in biostatistics, epidemiology, statistics, social science, policy analysis, public health, or related field.
A minimum of three (3) years of experience in data analysis, programming, and/or research.
Certifications/Licenses Preferred Qualifications
SAS Macro and Proc SQL experience.
Experience analyzing health care claims data for health services research.
Knowledge of health care data standards, formats and codes.
Experience with health care management/medical informatics.
Experience writing statistical programs to process and analyze large, complex datasets.
High degree of computer literacy.
Position Information Recruitment/Posting Title Data Analyst - HSR/HEOR Posting Number 23TM0520 Department Inst-Hth,Hth Care Pol&Agng Res Overview

Rutgers, The State University of New Jersey, is distinguished in its many efforts to advance health and wellness, and its broad reach, diversity, and expertise provides opportunities to address a wide array of health challenges.

The Institute for Health, Health Care Policy and Aging Research ( IFH ) facilitates collaboration among the social and behavioral sciences, clinical disciplines, basic sciences and related fields to promote research on critical population health issues.

Tobias Gerhard serves as the director of IFH and brings together scholars across and beyond Rutgers into a vibrant interdisciplinary network that advances high quality research in core areas:

Social and Cultural Determinants of Health
State Health Policy
The Institute communicates with many diverse audiences, including Rutgers faculty and students, government agencies (U.S. and abroad), nongovernmental organizations in various regions of the world, industries, foundations, and individual donors. Posting Summary

Rutgers, The State University of New Jersey, is seeking a Data Analyst in Health Services Research/ HEOR in the Center for Health Services Research at the Institute for Health, Health Care Policy and Aging Research.

Under the director of the Director of the Center for Health Services Research ( CHSR ) and/or senior data analysts, the incumbent will provide data-analytic support to a large and complex program of federally funded research and will construct statistically advanced programs in SAS and other software to link and analyze large and complex health care datasets, including national Medicaid and Medicare insurance claims, private insurance claims, National Death Index data, and other sources representing tens of millions of individuals followed over multiple years.

Works with Center investigators, senior staff and collaborators to implement sophisticated, longitudinal statistical programming and data analyses for health services research and outcomes studies.

Analyses will include application of advanced techniques in SAS software for longitudinal data analysis, data linkage across large datasets, construction of medication supply calendars and other measures of health care use over time, reporting descriptive statistics, and statistical modeling of outcomes.

Cleans and manages data, including conducting quality control analyses.
9 Daily Work Shift Work Arrangement

Consistent with the current application of Rutgers Policy 60.The flexible work arrangements outlined in Rutgers Policy 60.Therefore, there is no guarantee that this flexible work arrangement will continue beyond that date.

Flexible work arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the Application System.

FLSA Nonexempt Position Salary "$35 - $50/hour based on experience Payroll Designation PeopleSoft Terms of Appointment Temporary Staff Appointment - Hourly Qualifications Minimum Education and Experience
Master's degree in biostatistics, epidemiology, statistics, social science, policy analysis, public health, or related field.
A minimum of three (3) years of experience in data analysis, programming, and/or research.
Certifications/Licenses Preferred Qualifications
SAS Macro and Proc SQL experience.
Experience analyzing health care claims data for health services research.
Knowledge of health care data standards, formats and codes.
Experience with health care management/medical informatics.
Experience writing statistical programs to process and analyze large, complex datasets.
High degree of computer literacy.

Immunization Requirements Under Policy 100.1 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:
Required fields are indicated with an asterisk (*).

  • Do you have a minimum of a Master's degree in biostatistics, epidemiology, statistics, social science, policy analysis, public health, or related field?
Do you have a minimum of three (3) years of experience in data analysis, programming, and/or research?
Have you published academic papers in peer-reviewed journals?
Writing Sample 1

Optional Documents 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.

In compliance with the Americans with Disabilities Act (ADA) and the New Jersey Law Against Discrimination (NJLAD), if you have a disability and would like to request an accommodation with regard to your access to and/or your participation in the application and selection processes (for example, the online application process or interviews), please call or e-mail us .

If you have trouble accessing this page because of a disability, please contact us at 732.For technical assistance with the applicant tracking system (login, filling out your application, resetting your password, etc.) please contact the ROCS Help Desk at or .

To learn more about Rutgers University's commitment to diversity and inclusion on its campuses, click here . #

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