FA27-025: Research Faculty Fellow - Data Analyst (3 Positions)
Indexed description
Terms of Appointment
Source of Funds
Local
Qualifications
Mixed Methods Data Analyst
Required Qualifications
- Bachelor's degree in a STEM discipline or a quantitatively-intensive social science field.
- At least 6 months of experience teaching in a classroom or online learning environment.
- Knowledge of experimental design and analysis, natural language processing, and discriminative and generative artificial intelligence models.
- At least 1 year of experience working with R, Python, or SAS.
- At least 6 months of experience serving as an instructor for traditional or non-traditional/alternative credentialing programs (e.g., microcredentials).
- Knowledge of secure data handling procedures for confidential and anonymous data.
- Master’s degree or higher in a related discipline.
- Demonstrated knowledge of student-centered educational practices.
- Fluency in R, Python, or SAS.
- Bachelor’s degree in Geography/GIS, Environmental Sciences, Political Science, Public Policy, or a similar discipline with experience in geospatial analysis and policy analysis.
- At least one year of experience working with GIS tools.
- Experience working with geographical analyses with human, policy, and/or geopolitical components.
- Experience aggregating data from multiple databases into a unified source for analysis.
- Master’s degree or higher in related discipline.
- Knowledge of experimental design and analysis, natural language processing, and discriminative and generative artificial intelligence models.
- At least one year of experience working with Python or R.
- Knowledge of secure data handling procedures for confidential and anonymous data.
- Bachelor’s degree in a STEM or quantitatively-intensive discipline.
- At least 6 months of experience creating automated workflows in Power Automate.
- Knowledge of experimental design and analysis, natural language processing, and discriminative and generative artificial intelligence models.
- At least 6 months’ experience working with Python, R, or SAS.
- Experience aggregating data from multiple databases into a unified source for analysis.
- Master’s degree or higher in related discipline.
- Fluency in Python, R, or SAS.
- At least 1 year of experience working with GIS tools.
- Experience creating AI agents for targeted applications.
- Knowledge of secure data handling procedures and data management protocols.
Application Deadline
Closing date for applications is 09/30/2026.
Applicants will be subject to a background check prior to an offer of employment.
Employment is contingent upon satisfying all legal requirements as set forth by the U.S. Citizenship and Immigration Services in regard to employability in the United States. SIUE makes no representation, warranty, or agreement that third parties, including government agencies, will approve submitted documents, applications, or petitions for an H-1B visa or Optional Practical Training.
SIUE is a state university - benefits under state sponsored plans may not be available to holders of F1 or J1 visas. The State of Illinois requires that immigrant employees achieve H-1 status before they become eligible for certain benefits.
In compliance with the ADA Amendments Acts (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position with Southern Illinois University Edwardsville, please call 618-650-2190 or email [email protected].
The SIUE Annual Security and Fire Safety Report is available online at https://www.siue.edu/police/cleary-act-forms/ . This report is published in compliance the “Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act” and the Higher Education Opportunity Act also known as the “Campus Fire Safety Right to Know.”
EEO Statement
Southern Illinois University Edwardsville is an equal opportunity employer and thus prohibits discrimination against employees, applicants for employment and students on the basis of age, color, disability, marital status, national origin, race, religion, sex, sexual orientation, or veteran's status.
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