Research Computing Consultant II – AI & HPC

Overview

The Research Computing Consultant II (RCCII) – AI &HPCFacilitation is a researcher-facing engagement specialist who partners with faculty and research teams to expand the adoption of artificial intelligence, high-performance computing, and cloud-based research tools across Dartmouth’s research enterprise. This role applies a data science lens to facilitation and outreach, helping faculty identify where AI and advanced computing can strengthen their workflows, and then supporting them in getting there through hands-on guidance, workshops, documentation, and ongoing consultation.

This is an early-career role designed for someone with genuine enthusiasm for emerging technologies and a talent for translating complex tools into practical, accessible knowledge for research communities. The right candidate will be energized by community engagement and education, motivated by helping others succeed with new tools, and comfortable working across a wide range of disciplines and technical backgrounds. This is primarily a people-facing, community-oriented role for someone who wants to be at the frontier of how AI andHPCare used in academic research.

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. Strong communication skills, workshop facilitation experience, and a demonstrated curiosity about AI and advanced computing tools are essential to success in this role.

Dartmouth College seeks a research computing professional to serve as a computational thought partner to faculty and research teams across disciplines. This role sits at the intersection of applied data science, advanced computing, and collaborative research strategy.

The Research Computing Consultant II – AI &HPC advances Dartmouth’s research mission by enabling scalable, reproducible, and innovative computational practices. This position partners directly with faculty, postdoctoral scholars, and graduate students to shape analytical approaches, optimize computational workflows, and expand adoption of advanced research technologies.

This role is within the Research Engagement and Data Science team, reporting to the Director of Research Engagement and Data Science and working in close collaboration with research computing infrastructure colleagues and campus partners.