Research Computing Consultant II – Data Science

About the role

The Research Computing Consultant II (RCCII) – Data Science is a researcher-facing professional who partners with faculty, postdoctoral scholars, and graduate students to support data-intensive research across disciplines. This role applies expertise in applied statistics, artificial intelligence, and data science to help the campus research community design rigorous analytical workflows, develop publication-quality visualizations, and build reproducible computational practices.

The RCCII applies methodological knowledge across a broad range of research contexts, spanning biomedical and public health sciences through to the social sciences and humanities. This is an early-career professional role designed for a curious individual with a foundational background and some experience in applied quantitative research support who is ready to develop their expertise within a collaborative, research-oriented environment.

The position reports to the Director of Research Engagement and Data Science and works in close partnership with the Research Cyberinfrastructure and Research Software Engineering teams.

Responsibilities

• Serve as a computational thought partner to faculty and research teams across disciplines, sitting at the intersection of applied data science, advanced computing, and collaborative research strategy.
• Advance Dartmouth’s research mission by enabling scalable, reproducible, and innovative computational practices.
• Partner directly with faculty, postdoctoral scholars, and graduate students to shape analytical approaches, optimize computational workflows, and expand adoption of advanced research technologies.
• Design rigorous analytical workflows, develop publication-quality visualizations, and build reproducible computational practices.
• Host workshops and provide training on data science methodologies and tools.

Requirements

• Strong programming proficiency in R and Python.
• Effective communication skills and experience collaborating with researchers.
• Workshop hosting or training experience.
• Foundational background and some experience in applied quantitative research support.
• Genuine enthusiasm for collaborative research.

Location

Hanover, NH, USA