Research Computing Consultant II – Data Science

Position Information

Posting date: 07/13/2026

Open Until Filled:
Yes

Position Number: 1129656

Title:

Research Computing Consultant II - Data Science

Hiring Range: $87,700 - $115,000

Union:
Not a Union Position

FLSA Status:
Exempt

Employment Category:
Regular Full Time

Scheduled Months per Year: 12

Scheduled Hours per Week: 40

Location:

Hanover, NH

Remote Work Eligibility:
Hybrid

Term Position:
No

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.

Strong programming proficiency in R and Python, effective communication skills, workshop hosting experience, and a genuine enthusiasm for collaborative research 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 – Data Science 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.

The 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.

• Assists faculty, postdoctoral scholars, and graduate students in assessing analytic needs and identifying appropriate quantitative, statistical, and computational approaches suited to their research questions and disciplinary context.
• Provides foundational guidance on model selection, validation strategies, and interpretation of analytical results across diverse research domains including biomedicine, public health, social sciences, and the humanities.
• Guides researchers in evaluating and responsibly adopting AI‑enabled tools, including large language models, to enhance their analytical workflows and research practice.
• Assists researchers in structuring, cleaning, and summarizing complex datasets to support exploratory analysis, reporting, and communication of findings.
• Supports implementation of commonly used statistical analyses including regression, mixed‑effects, survival, and multivariate approaches using R and Python.
• Contributes to the preparation of methods sections, analytical summaries, and data narratives for research manuscripts and proposals.
• Assists with study design discussions and supports analytical planning related to research proposals.
• Helps develop text and corpus analysis workflows, including data extraction, preprocessing, and quantitative characterization of textual or qualitative data sources.
• Assists project teams in developing reproducible workflows using scripting, version control, and workflow management best practices.
• Troubleshoots…