Research Computing Consultant II - Data Science

Position Details

Position Information

Posting date 07/13/2026 Closing date Open Until Filled Yes Position Number 1129656 Position Title Research Computing Consultant II - Data Science Hiring Range Minimum $87,700 Hiring Range Maximum $115,000 Union Type Not a Union Position SEIU Level Not an SEIU Position FLSA Status Exempt Employment Category Regular Full Time Scheduled Months per Year 12 Scheduled Hours per Week 40 Schedule Location of Position

Hanover, NH

Remote Work Eligibility? Hybrid Is this a term position? No If yes, length of term in months. NA Is this a grant funded position? No Position Purpose

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.

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 - 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.

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.

Required Qualifications
- Education and Yrs Exp Master's degree

Required Qualifications
- Skills, Knowledge and Abilities

* Master's degree in biostatistics, statistics, data science, epidemiology, computer science, computational science, or a related quantitative discipline.

* Minimum of one year of experience in applied data science, applied statistics, research computing, or computational research support.

* Experience supporting or participating in data-intensive research projects.

* Strong proficiency in both R and Python

* Demonstrated experience with applied statistical modeling, including at minimum regression and mixed-effects frameworks.

* Working knowledge of large language models or AI-assisted tools and their potential applications in research or data science contexts.

* Familiarity with high-performance computing or advanced computational environments.

* Demonstrated ability to communicate quantitative concepts clearly to audiences with diverse technical backgrounds.

* Experience developing or delivering technical training, documentation, or instructional materials.

* 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

* Ph.D. in a quantitative discipline such as biostatistics, statistics, data science, epidemiology, or computational science.

* Proficiency in SAS or Stata.

* Strong data visualization skills, including experience developing interactive dashboards (e.g., Shiny, Dash, or comparable platforms).

* Demonstrated ability to design, evaluate, or advise on AI-enabled workflows in academic or research settings, including critical assessment of appropriate use and limitations.

* Working knowledge of Linux-based systems and workload scheduling tools (e.g., Slurm).

* Background working with large-scale, high-dimensional, or sensitive datasets, including awareness of relevant regulatory and ethical considerations.

* Exposure to research proposals or grant writing processes, including contribution to methods or computational sections.

* Active or emerging engagement with scholarly communities through publications,…