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Research Computing Consultant II – AI & HPC

Job in Hanover, Grafton County, New Hampshire, 03755, USA
Listing for: Dartmouth College
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Scientist, AI Business & Operations, AI Engineer (Applied/Software), Data Analyst
Salary/Wage Range or Industry Benchmark: 95000 - 125000 USD Yearly USD 95000.00 125000.00 YEAR
Job Description & How to Apply Below

Position Information

Position title:

Research Computing Consultant II - AI & HPC

Location:

Hanover, NH

Remote Work Eligibility:
Hybrid

Employment Category:
Regular Full Time

Scheduled Hours per Week: 40

Scheduled Months per Year: 12

Posting Date: 07/13/2026

Position is open until filled.

Position Purpose

The Research Computing Consultant II (RCCII) – AI & HPC 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. It is primarily a people‑facing, community‑oriented role for someone who wants to be at the frontier of how AI and HPC are 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.

Description

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. The position partners directly with faculty, postdoctoral scholars, and graduate students to shape analytical approaches, optimize computational workflows, and expand adoption of advanced research technologies.

It 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.

Required Qualifications

Education and Experience

Bachelor’s degree plus 3–5 years of experience, or an equivalent combination of education and experience.

Required Qualifications – Skills, Knowledge and Abilities
  • Bachelor’s degree in computer science, data science, information science, a natural or social science, or a related field;
    Master’s degree preferred, particularly in a computationally oriented discipline.
  • Minimum of one year of experience in research computing support, academic technology, data science facilitation, or a related role.
  • Working knowledge of large language models and AI‑assisted tools, including practical experience applying them in research or analytical contexts.
  • Familiarity with high‑performance computing environments, including job submission and basic workflow management.
  • Foundational proficiency in Python or R for data analysis and workflow support.
  • Demonstrated ability to explain complex technical tools and concepts clearly to non‑specialist audiences.
  • Experience designing or delivering technical workshops, training sessions, or instructional materials.
  • Strong interpersonal and communication skills, with genuine enthusiasm for community engagement and researcher support.
  • Ability to work on campus multiple days per week; this is a hybrid‑eligible role requiring consistent in‑person presence to support the research community.
Preferred Qualifications
  • Master’s degree in data science, computer science, information science, computational science, or…
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