Research Computing Consultant III - Data Science & HPC

Hanover, NH

The Research Computing Consultant III (RCCIII) - Data Science & HPC is a senior researcher-facing professional who partners with faculty, postdoctoral scholars, and graduate students to support data-intensive research across disciplines. This role designs, implements, and optimizes data science and computational workflows, including statistical analysis, machine learning, AI-enabled tools, and high-performance computing, while reducing the complexity of advanced technologies through consultation, training, and hands-on technical facilitation across the research lifecycle.

Operating with a high degree of independence, the RCCIII serves as an expert data scientist with advanced knowledge of applied statistical methodologies and significant experience designing, building, and supporting scalable computational pipelines in high-performance computing environments. In this capacity, the position serves as an advanced subject matter expert in applied data science and research computing, promoting scalable, reproducible, and effective research practices. The role reports to the Director of Research Engagement and Data Science and collaborates closely with research computing infrastructure teams and campus partners to enhance the overall researcher experience.

Dartmouth College seeks a senior 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 III - Data Science & 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 is a senior-level role 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.

Dartmouth College is an equal opportunity employer under federal law. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications are welcome from all.

Employment in this position is contingent upon consent to and successful completion of a pre-employment background check, which may include a criminal background check, reference checks, verification of work history, conduct review, and verification of any required academic credentials, licenses, and/or certifications, with results acceptable to Dartmouth College. A criminal conviction will not automatically disqualify an applicant from employment. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.

Dartmouth College has a Tobacco-Free Policy. Smoking and the use of tobacco-based products (including smokeless tobacco) are prohibited in all facilities, grounds, vehicles or other areas owned, operated or occupied by Dartmouth College with no exceptions. For details, please see our policy. https://policies.dartmouth.edu/policy/tobacco-free-policy