Research Computing Consultant II – AI & HPC.

Position Details

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.

Description

• Partners with faculty and research labs to assess computational and AI-related needs and identify appropriate tools, platforms, and workflows suited to their research context.
• Advises researchers on effective and responsible use of large language models, AI-assisted analysis tools, and cloud-based AI services in their research workflows.
• Guides faculty and research teams in getting started with Dartmouth’s high-performance computing environments, including account setup, job submission, resource selection, and basic troubleshooting.
• Supports research teams in identifying when cloud computing platforms are appropriate alternatives or complements to on-premise HPC, and supports onboarding to relevant cloud research environments.
• Consults with researchers on responsible AI use, including awareness of limitations, reproducibility considerations, data privacy, and ethical dimensions of AI-assisted research.
• Collaborates with the Research Cyberinfrastructure and Research Software Engineering teams to communicate faculty needs and contribute to improved researcher experience on HPC and cloud platforms.
• Supports Dartmouth-affiliated research partnerships and enterprise collaborations by extending AI and HPC facilitation services as appropriate.

Required Qualifications

• 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.
• Familiarity with large language models and AI-assisted tools, including practical experience applying them in research or analytical contexts.
• Fundamental 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 a related quantitative discipline.
• Hands-on experience with cloud computing platforms used in research contexts (e.g., AWS, Google Cloud, Azure, or institutional cloud environments).
• Demonstrated ability to evaluate, advise on, and communicate the appropriate use and limitations of AI tools in academic or research settings.
• Background developing asynchronous educational content, documentation, or tutorials for technical audiences.
• Proficiency in data visualization tools and experience creating accessible, publication-quality figures or interactive outputs.
• Grounding in research data management practices and awareness of compliance and privacy considerations in AI and cloud computing contexts.
• Exposure to the academic research lifecycle, including familiarity with grant processes, research workflows, or scholarly publishing norms.

Department Contact for Recruitment Inquiries

Christian Darabos
Department Contact Phone Number: Christian.Darabos@dartmouth.edu
Department Contact for Cover Letter and Title: Christian Darabos, Sr. Director, Research Computing and Data (RCD)
Department Contact's Phone Number: NA

Equal Opportunity Employer

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.