Data Science Research Computing Consultant II

Dartmouth College; Hanover (NH); Hybrid; USD 87,700 - 115,000; Full time

Job summary

Dartmouth College seeks a Research Computing Consultant II – Data Science in Hanover, NH. The role partners with faculty and researchers to design analytical workflows, build publication-quality visualizations, and enable reproducible computational practices using R and Python.

Ideal candidates will have a Master’s degree in a quantitative field, 1+ year of data-intensive research support, and a strong foundation in applied statistics and AI‑enabled tools.

Qualifications

• 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 regression and mixed-effects.
• 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.

Responsibilities

• 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 routine analytical and methodological challenges, and works closely with senior team members to resolve more complex problems.

Skills

R and Python proficiency

Applied statistics

Data science methods

Communication

Research computing

Education

Master’s degree in a quantitative field

Tools

SAS

Stata

Job description

Dartmouth College seeks a Research Computing Consultant II – Data Science in Hanover, NH. The role partners with faculty and researchers to design analytical workflows, build publication-quality visualizations, and enable reproducible computational practices using R and Python.

Ideal candidates will have a Master’s degree in a quantitative field, 1+ year of data-intensive research support, and a strong foundation in applied statistics and AI‑enabled tools.