Internship Python Pandas Jobs (NOW HIRING)

Thank you for considering a career with the Research Foundation of The City University of New York (RFCUNY).

The team at RFCUNY is made up of dedicated, talented professionals committed to providing the services that allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries.

We are pleased that you are interested in exploring opportunities to join RFCUNY.

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The Tech Talent Pipeline Residency Program (TTPR) is an internship placement program for students in technology and technology-adjacent majors at CUNY City Tech. TTPR partners with industry to prepare students for careers across four key technical domains: IT/Hardware, Full-Stack Development, Cybersecurity, and Data Analysis. We are committed to increasing diversity in the technology workforce and ensuring students graduate work-ready.

Start Date: 1 June, 2026

End Date: 21 August, 2026

Responsibilities:

The Lead TA works in close partnership with the Lead Instructor and is expected to be capable of leading sessions independently when needed. This is not a purely administrative role. The Lead TA is an instructional co-pilot: technically fluent across the bootcamp's five curriculum pillars, able to manage the TA team, and prepared to step in for any component of the program.

• Co-facilitate lectures, live coding sessions, and project workshops across all five curriculum pillars alongside the Lead Instructor

• Lead sessions independently in the instructor's absence, maintaining continuity of instruction and pacing

• Provide real-time technical demonstrations and troubleshooting during hands-on project work

• Support instruction on all five core areas: full-stack dev with AI integration, networking/security principles, API integrations, cloud services, and data analysis/visualization

• Serve as the primary point of coordination for the other TAs, helping align their support efforts with the current instructional focus

• Attend and help run team meetings; relay instructor priorities and flag student needs to the instructional team

• Escalate student concerns, attendance issues, or curricular blockers to the Lead Instructor or program manager as needed

• Provide targeted one-on-one and small-group support to students across all four placement tracks

• Assist in designing and grading assessments, project rubrics, and checkpoints

• Track and report student attendance, progress, and engagement; surface patterns to the instructor

• Other duties as assigned by the Lead Instructor or program manager

Required Qualifications:

• Current enrollment in or recent completion of a degree in Computer Science, Information Technology, Cybersecurity, Data Science, or a closely related field

• Demonstrated technical competency across at least two of the four bootcamp curriculum pillars (full-stack dev, networking/security, cloud, data analysis)

• Proficiency in JavaScript or another OOP language; working knowledge of HTML, CSS, and frontend/backend fundamentals

• Experience with Git/GitHub and version control workflows

• Prior experience in a teaching, tutoring, TA, or mentorship role

• Strong communication skills and the ability to adapt explanations to different learning levels

Preferred Qualifications

• Experience with cloud services (AWS preferred) and/or API integrations

• Familiarity with networking concepts and/or security principles

• Experience using AI development tools (e.g., GitHub Copilot, Claude, or similar) and ability to model their effective use

• Familiarity with SQL and relational databases

• Experience with data cleaning, analysis, or visualization tools (e.g., Python/pandas, Tableau, Matplotlib)

• Comfort leading a room or session independently

• Familiarity with cybersecurity concepts or tools

• Experience with .NET technologies

Application Process:

To apply, please submit your resume, and an optional sample syllabus for a full-stack web development course you would like to teach. Shortlisted candidates will be contacted for an interview.

Pay Range:

$23 per hour (~25 hours/week)

RFCUNY Benefits
RFCUNY Employee Benefits and Accruals (link to https://www.rfcuny.org/RFWebsite)

About the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY's research and sponsored programs. RFCUNY's services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society's most pressing challenges.
RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY's research and sponsored programs.

Equal Employment Opportunity Statement
The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.