University of Illinois Chicago

University of Illinois Chicago

Human Resource Associate II - Mathematics, Statistics, & Computer Science, College of LAS

Chicago, IL, US · Mid

Sponsorship not specifiedDetected 9 days ago
StatisticsRecruitingEmployee Relations

About the role

  • This position plans and oversees human resource services for the Math, Statistics and Computer Science (MSCS) department.
  • Duties Responsibilities: Oversees employment processes for faculty, staff, graduate and undergraduate students.
  • Welcomes incoming employees through a comprehensive onboarding process.

Responsibilities

  • Manages full-cycle recruitment for staff, graduate assistants, student employees, and extra help positions.
  • Maintains job descriptions in JDXpert and the MSCS Handshake account.
  • Manages high-volume visa sponsorship processes for international faculty, staff, students, and visitors.
  • Processes and manages leaves of absence.
  • Documents procedures, prepares planning reports, and advises department leadership.
  • Perform other related duties and participate in special projects as assigned.

Requirements

  • Serves as the departmental resource on search procedures and coordinates required approvals, interviews and campus visits.
  • Coordinates required documentation with the Office of International Services, assists with IDs and Social Security cards, and supports resolution of complex visa issues.

Benefits

  • Oversees biweekly and monthly payroll processes, including timesheet approval, payroll adjustments, leave balance reviews, labor redistributions, and overcompensation payments.
  • Trains new hires on payroll procedures and manages leave reporting.
  • Serves as liaison with university and college units (LAS HR, Payroll, Benefits, Access Equity, etc.).

Visa & Work Authorization

  • Manages high-volume visa sponsorship processes for international faculty, staff, students, and visitors

This listing is sourced directly from University of Illinois Chicago's careers page and normalized into a canonical job model.