R Coding Tutor for Data Science Café

Lewis & Clark College; Portland (OR); On-site; USD 21,000 - 28,000; Part time

Benefits offered by this job

Work-study opportunities

Job summary

Lewis & Clark College’s Data Science Center seeks a Data Café Tutor to provide free, drop-in support for R coding and related data-science concepts to students. Tutors help learners build confidence and connect course ideas to practical data analysis.

You will help students troubleshoot code, foster independent learning, and contribute to a welcoming Data Café environment in Watzek Library. This part-time student position aligns with Work‑Study opportunities where applicable.

Qualifications

• Experience using the R programming language.
• Strong communication skills and an interest in helping other students learn.
• Ability to work respectfully and effectively with students from varied academic backgrounds and levels of coding experience.
• Resume and cover letter submitted with the application.
• Resume or cover letter must include the name of at least one faculty reference who can speak to the applicant’s experience with R and potential as a tutor.

Responsibilities

• Provide drop-in support for R coding and other foundational data-science skills during scheduled Data Café hours.
• Help students interpret error messages, debug code, work with data, and develop effective problem-solving strategies.
• Explain concepts in ways that promote student learning and independence rather than simply completing work for students.
• Assist students with coursework-related questions through individual appointments or email correspondence, as needed.
• Maintain a welcoming, organized, and inclusive tutoring environment in the Data Science Center.
• Communicate with the Data Café supervisor about common student needs, resource gaps, and scheduling concerns.
• Participate in training or meetings as requested by the supervisor.

Skills

R programming

Job description

Lewis & Clark College’s Data Science Center seeks a Data Café Tutor to provide free, drop-in support for R coding and related data-science concepts to students. Tutors help learners build confidence and connect course ideas to practical data analysis.

You will help students troubleshoot code, foster independent learning, and contribute to a welcoming Data Café environment in Watzek Library. This part-time student position aligns with Work‑Study opportunities where applicable.