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Rutgers The State University Data Analyst (HSR/HEO) in New Brunswick, New Jersey

Position Details

Position Information

Recruitment/Posting Title Data Analyst (HSR/HEO)
Posting Number 24TM0353
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:
* Behavioral Health
* Health Economics
* Social and Cultural Determinants of Health
* Pharmacoepidemiology
* Violence Prevention
* Health Disparities
* Aging Research
* State Health Policy
* Health Services Research
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.Among the key duties of the position are the following:
  • 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.
  • Responsible for cleaning and managing data, including conducting quality control analyses.
  • Creates and maintains analytic workplans and documentation.
  • Constructs analytic variables.
  • Applies appropriate statistical modeling methods; and participates in the interpretation and preparation of results for publications and presentations.


This position is grant funded.
Position Status Part Time
Hours Per Week 19.9
Daily Work Shift
Work Arrangement
FLSA Nonexempt
Position Salary $35 - $50
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 research, or equivalent combination of education and/or experience.
Certifications/Licenses
Preferred Qualifications
  • Expertise with SAS, minimum of one year with more years preferred.
  • SAS certification.
  • 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.
  • Other highly desirable experience includes experience with propensity score matching, analysis of electronic medical record data, and/or experience with machine learning methods.
Required Knowledge, Skills, and Abilities
  • Experience writing statistical programs to process and analyze large, complex datasets.
  • Excellent written and oral communication skills.
  • Close attention to detail, well organized.
  • High degree of computer literacy.
  • Requires high-level skills in data management and statistical programming, with expertise in SAS programming and strong experience with very large datasets, preferably entailing longitudinal analyses and application of advanced statistical methods.
  • Experience in longitudinal analysis of health outcomes using healthcare claims data is highly desirable.
  • Qualified candidates will have advanced problem-solving skills.
  • Experience working both independently and collaboratively.
  • A strong interest in using complex data to address important health services and policy research questions.
  • An organized and detail-oriented approach to balance and prioritize multiple simultaneous projects, and motivation to advance the level technical skills needed to increase expertise with longitudinal, multi-level, machine learning, and geospatial methods in the secondary data analysis of large health care data.
Equipment Utilized
  • Microsoft Office products.
  • Software packages such as SAS, R, Stata, SPSS and other specialized software for statistical programming and complex data manipulation
Physical Demands and Work Environment
Special Conditions
Posting Details

Posting Open Date 08/21/2024
Posting Close Date 09/21/2024
Open Until Filled No
Special Instructions to Applicants
Regional Campus Rutgers University-New Brunswick
Home Location Campus Rutgers University - 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, p regnancy, 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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