manhattaninstituteforpolicyresearchinc

manhattaninstituteforpolicyresearchinc

Collegiate Associates Program

New York · Internship

Sponsorship not specifiedDetected 25 days ago
SpringResearchCommunicationTime ManagementPublic SpeakingAdaptabilityOrganizational Skills

About the role

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  • Internship Details: - Collegiate Associates are paid $17/hour in New York and California. - All internships offer remote and hybrid options.

Requirements

  • Successful Collegiate Associates must have:
  • A minimum grade point average of 3.25
  • Exceptional organizational skills and acute attention to detail.
  • Time management skills and adaptability in a fast-paced work environment.
  • Strong written and verbal communications skills to interface with internal staff, nonprofit leaders, and other potential partners in a professional manner.
  • Approximate Program Timelines:
  • Fall program: Late September through mid-December, 5-20 hours per week
  • Spring program: Late January through mid-April, 5-20 hours per week
  • Summer program: Late May through early August, 10-20 hours per week
  • Applications are considered on a rolling basis. Applicants are encouraged to apply before these dates for each term:
  • Spring Program: November 15

Nice to have

  • Collegiate Associates are paid $17/hour in New York and California.
  • However, in-person attendance is preferred.
  • Interns may work part-time in the spring and fall (10-20 hours)
  • all interns must work full-time in the summer.

Skills

  • Collegiate Associates Program
  • Manhattan Institute Collegiate Associate Program
  • The Collegiate Associate Program is a 10-12 week program that provides comprehensive experience in MI's core policy areas and functions.
  • To learn more about programming, qualifications and requirements, important dates and deadlines to apply, see below.

Benefits

  • MI offers generous benefits, including hybrid and remote work options.

This listing is sourced directly from manhattaninstituteforpolicyresearchinc's careers page and normalized into a canonical job model.