Job Details

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Functional Summary:  

The primary purpose of this position is to provide quantitative and qualitative research design services, field research for data acquisition purposes, and data analysis of quantitative and qualitative data involved in evaluating and analyzing transportation safety-related data for traffic safety programs and projects.  In addition, this position will develop and link statewide crash data to healthcare data using advanced probabilistic and deterministic methods and several descriptive and multivariate statistical techniques, including multiple regression, logistic regression, and structural equation modeling.  The linked data will be used to analyze and study financial and medical outcomes of individuals who are involved in motor vehicle crashes.

 

 

 

• Import several crash and health related databases and link individual level records that are devoid of identifiers using a set of indirect linkage variables.  To do the linkage, learn and utilize specific federally provided data linkage MS Access software program called "Strategic Matching" or any other available data linkage programs. (15%)
• Conduct detailed and highly multivariate statistical analyses of the linked datasets.  Process large datasets using SAS software or Microsoft Office products (Access and Excel), impute missing links and missing values, and produce analytical SAS output for further interpretation, discussion, and reporting. (15%)
• Prepare analytical reports for use by IDOT and other related to policy issues such as helmet usage by motorcyclists and the impact of such usage on health and health care costs.  Explain results of complex statistical analyses using narrative that can be understood by a generalist audience. (15%)
• Clean and transform data fields as needed prior to data analysis.  Understand the raw data fields and values and then successfully convert them as needed for more complex analyses. (10%)
• Prepare highly complex reports describing the results of multivariate analyses and other statistical modeling techniques.  The reports should be of sufficient quality to be published in refereed journals. (10%)
• Become and remain fully informed about IDOT traffic safety policies and procedures and use such knowledge in report preparation.  Provide research and evaluation on IDOT safety programs and campaigns as requested by IDOT. (10%)
• Maintains linked databases with proper documentation.  Communicate with state agency data system liaisons to secure data and documentation. (10%)
• Communicate and coordinate with other partners at the state and federal level. (5%)
• Participate in quarterly Statewide Traffic Records Coordinating Committee (TRCC) meetings. (5%)
• Attend and present at periodic national conferences using PowerPoint and/or other media. (5%)

 

Environmental demands:  The position will be located at the Illinois Department of Transportation in Springfield, IL, though remote work is a possibility pending IDOT approval.  Position may require some travel.

 

• B.A. or B.S. required, M.A. or Ph.D. preferred, in math, statistics, computer science, or in a social science field with a very strong quantitative research emphasis.
• Minimum of five years' quantitative research experience is required.
• Must have experience working with large statewide or nationwide databases using SAS and other statistical packages (SAS preferred), SQL, and Microsoft Access.
• The ideal candidate will also need to have experience in the management of large datasets on multiple hardware processing platforms and knowledge of batch and online processing.
• Must have applied multivariate statistical skills, such as multiple regression, logistic regression, structural equation modeling, and multivariate analysis of variance.

 

 

Minimum Starting Salary:  $65,000 annually

 

Closing date for applications:  6/30/2022   -  EXTENDED DEADLINE!!

 

Application Process: Please select the "Apply for position" button below and create or update your profile.  Submit cover letter, resume/CV and list of 3-5 references (with phone number and email addresses).  Official transcripts may be requested from finalists.  Application materials must be submitted by the June 30, 2022 deadline (only complete applications will be evaluated) for full consideration.  

 

 

The University of Illinois may conduct background checks on all job candidates upon acceptance of a contingent offer of employment.  Background checks will be performed in compliance with the Fair Credit Reporting Act.

 

New Policy:  All offers for employment are contingent upon proof of vaccination against the COVID-19 virus, or an approved exemption, pursuant to UIS New Hire COVID Policy Supplement

 

UIS is an affirmative action/equal employment opportunity employer; veterans, persons with disabilities, women and minorities are encouraged to apply.

 

The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit https://www.hr.uillinois.edu/cms/One.aspx?portalId=4292&pageId=1411899

 

As a qualifying federal contractor, the University of Illinois System uses E-Verify to verify employment eligibility.

 

 

UIS employment in this role is not covered by Social Security, and instead, is covered by the State Universities Retirement System.

• You don't pay Social Security taxes and your earnings won't be on your Social Security record. (Your record will, however, show your Medicare wages.)

• Your pension from the State Universities Retirement System may affect the amount of your
  • Social Security benefit and
  • Social Security benefit as a spouse.

 

 

New Vacancy List Serve:  Human Resources now has a list serve for current vacancies.  Subscribers will receive weekly emails with current UIS vacancies.