Research Associate

(Posted 3-18-2019)

Research Associate  - Performing data matching using record linkage software, The Link King, to support identity resolution service and create a Master Client Index for enhancing data exchange among agencies. Writing SAS program to apply record linkage rule to improve the accuracy of the matching. Completing statistical designs and modeling in R, including survival models, advanced non-linear regression models, linear and non-linear optimization techniques, re-sampling methods, and simulations. Completing statistical programming on large and high-dimensional datasets. Completing data manipulation to prepare the validated data for various projects and provide the statistical and analytical support and consolation for students and professors using SPSS, SAS and S-Plus. Testing, modifying, and improving the existing models using SAS by applying the new techniques not only in statistical modeling, but also in geographical and visual modeling. Analyzing and visualizing healthcare data by using software, Link Explorer which is implemented in Dynamic Analysis Network (DNA). Providing analytical data support such as data preparation, data cleaning, and statistical analysis using SQL, SAS or other tools. Documenting analysis process and report findings. Using BI tools such as SAS BI to support web based querying and report functionalities. Performing variable reduction techniques and survival analysis within complex, diverse, and ambiguous data. Matching child/family-level data to produce a unique record across system for each child. Providing technical guidance to perform statistical analysis on Early Childhood data for education outcomes to build better brains and sustainable outcomes for children.

Requirements: Bachelor’s Degree or foreign degree equivalent in Statistics or Mathematics and six months’ experience in position or six months’ experience in Statistical or Graduate Assistant fields.

Special requirements: Experience with completing statistical designs and modeling in R, including survival models; SAS; SPSS; S-Plus; and completing statistical programming and data manipulation on large and high-dimensional datasets. Pre-employment background check and verification of eligibility to work in US required. EOE/AA

Send letter of application, resume and contact information (name/ address/ phone#/ e-mail) for three current professional references by 5/1/2019 to (including Ref#10031): Ms. Mary Strub, Northern Illinois University, 148 N. Third St., DeKalb IL 60115.

 

 



 

 

CGS Contact

Center for Governmental Studies

Northern Illinois University
148 North Third Street
DeKalb, Illinois 60115-2828

Phone: 815-753-1907
Fax:  815-753-7278