Remote‑Eligible Research Data Coordinator

University of Texas at Austin; Austin (TX); On-site; USD 64,000 - 90,000; Full time

Job summary

The University of Texas Libraries' Research Data Coordinator supports researchers in publishing data and related outputs, aligning with FAIR principles. You will guide open scholarship, develop resources, and coordinate with UT partners to enhance data sharing.

Based in UT Libraries Research and Scholarship, you will deliver consultations, build guides, scripts, and instructional programs, and help ensure deposited data is well-curated for reproducibility.

Qualifications

• Graduate degree in library science, data science, information studies or related.
• At least 4 years of research data experience in professional or graduate settings.
• Experience with data publication, repositories, curation, or reproducibility.
• Familiarity with open scholarship and data management.
• Knowledge of Python, R, or JavaScript programming.
• Strong communication and collaborative skills; ability to share technical concepts clearly.

Responsibilities

• Support publishing research data and outputs via consultations, workshops, and guides.
• Review and curate data, metadata, code, and docs in UT Dataverse; support reproducibility.
• Develop scripted tools to aid repository use and track data publishing metrics.
• Engage in professional groups and stay current with research data sharing tools.

Skills

Python

R

JavaScript

Interpersonal skills

Effective communication

Collaborative work

Lifelong learning

Education

Graduate degree in library science or data science

4+ years in research data environment

Tools

Dataverse

GitHub

Job description

The University of Texas Libraries' Research Data Coordinator supports researchers in publishing data and related outputs, aligning with FAIR principles. You will guide open scholarship, develop resources, and coordinate with UT partners to enhance data sharing.

Based in UT Libraries Research and Scholarship, you will deliver consultations, build guides, scripts, and instructional programs, and help ensure deposited data is well-curated for reproducibility.