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Artificial Intelligence Research Data Science Specialist - Job Opportunity at Dartmouth College

Hanover, United States
Full-time
Mid-level
Posted: March 14, 2025
Hybrid
USD 90,000 - 120,000 per year based on academic institution standards and specialized skill requirements

Benefits

Comprehensive academic institution benefits package
Professional development opportunities
Access to cutting-edge AI research resources
Academic environment perks
Work-life balance through hybrid arrangement

Key Responsibilities

Lead AI/ML data infrastructure development and optimization
Design and implement vector database architectures
Develop document preprocessing pipelines for AI applications
Provide technical consultation and training to faculty and students
Collaborate on research projects and AI infrastructure integration
Engage in professional development and committee work

Requirements

Education

Bachelors degree minimum, Masters or PhD preferred

Experience

3-5 years with Bachelors, 1-3 years with Masters/PhD

Required Skills

Programming languages (R, Python, SAS, SPSS) GenAI and Deep Learning frameworks Natural Language Processing (NLP) Database design and development Data preparation and visualization Strong analytical capabilities Excellent communication skills Project management Problem-solving abilities
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Sauge AI Market Intelligence

Industry Trends

Academic institutions are rapidly expanding their AI research capabilities, particularly in areas of generative AI and large language models Vector databases and semantic search technologies are becoming crucial infrastructure components for advanced AI applications There's increasing focus on ethical AI development and responsible innovation in academic settings Integration of AI capabilities into research libraries represents a significant shift in academic infrastructure

Role Significance

Likely part of a 5-10 person Research Data Services team, collaborating with broader IT and academic departments
Mid to senior-level technical position with significant influence on institutional AI capabilities and research infrastructure

Key Projects

Implementation of institutional-scale vector database systems Development of custom AI/ML pipelines for research applications Creation of semantic search capabilities for academic resources Integration of Large Language Models with institutional data sources

Success Factors

Deep understanding of both technical AI concepts and academic research processes Ability to bridge technical implementation with research requirements Strong communication skills to work with diverse stakeholders Proactive approach to emerging AI technologies and their applications

Market Demand

Very high demand with limited talent pool possessing both technical AI expertise and academic research understanding

Important Skills

Critical Skills

Vector database expertise - essential for building scalable AI infrastructure NLP and GenAI experience - core to research applications Data preprocessing skills - fundamental for AI model development Communication abilities - crucial for stakeholder collaboration

Beneficial Skills

Research library experience Academic technology integration knowledge Open source development expertise Data visualization capabilities

Unique Aspects

Rare combination of AI technical work within academic library context
Opportunity to influence institutional AI strategy
Balance of research support and infrastructure development
Focus on ethical AI development in academic setting

Career Growth

2-4 years in role before advancement, depending on project success and institutional growth

Potential Next Roles

Head of Research Computing Director of AI Research Infrastructure Chief Research Technology Officer Senior AI Research Scientist

Company Overview

Dartmouth College

Dartmouth College is an Ivy League research institution with a strong commitment to innovation and academic excellence

Top-tier academic institution with growing focus on AI/ML research capabilities
Major employer in New Hampshire with significant influence in northeastern academic research community
Collaborative academic environment with emphasis on innovation and research excellence, balanced with work-life considerations
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