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Inside Higher Ed · 3 days ago

Data Science and AI Research Methodologist

Chapel Hill, NC

Full-time

Onsite

Mid, Senior Level

$80K/yr - $100K/yr

3+ years exp

Inside Higher Ed is a global higher education leader in innovative teaching, research, and public service. They are seeking a Data Science and AI Research Methodologist to support UNC research programs in implementing cutting-edge scientific methods using AI and large language models, promoting rigorous and reproducible research across social, health, and data sciences.

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Responsibilities

Consulting with research teams on the design and implementation of AI/NAM-powered research studies and experiments

Developing and delivering training programs in AI/NAM techniques for scientific research with an emphasis on research ethics and rigor

Providing advanced data management services, including syntax and code review, that support research transparency and reproducibility in accordance with standards and best practices

Contributing to the development of proposals for AI/NAM-powered research and other related initiatives to promote growth and innovation in novel research approaches

Engaging with UNC research stakeholders in campus-wide initiatives to build capacity in emerging research technologies

Qualification

Research designAdvanced statistical analysisMachine learningNatural language processingPythonRSTATAMPlusEthical considerations in AITeaching experienceAgility in learningCollaboration skillsAttention to detail

Required

Relevant post-Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, will accept a relevant Bachelor's degree (or foreign degree equivalent) and 3 or more years of relevant experience in substitution. May require terminal degree and licensure

Demonstrated experience in research design, validation, and replication

Proficiency in at least one programming language commonly used in AI and research methods (e.g., Python, R, STATA, MPlus)

Experience teaching, mentoring, or training in academic or research settings

Familiarity with ethical considerations in AI-enhanced research, especially in sensitive domains

Strong communication and collaboration skills across interdisciplinary teams

Demonstrated interest in keeping abreast of emerging AI technologies and agility in learning new tools to support their use in campus research

Exceptional attention to detail when reviewing research methods and products

Preferred

PhD in a relevant field, or Master's degree with at least 5 years of experience in a relevant field such as social science, biomedical sciences, computer science, data science, or research methodology

Experience supporting both internal institutional research and external collaborations

Proven track record of successful grant writing and funding acquisition

Experience with AI applications in clinical or biomedical research contexts

Familiarity with platforms such as Jupyter, GitHub, Azure AI, and Copilot Studio

Experience with local LLM deployment and usage in research environments (e.g., Ollama, LM Studio, GPT4All, LocalAI, AnythingLLM)

Knowledge of reproducibility frameworks and open science practices

Proficient in reviewing syntax and programming code for statistical packages such as Python, R, STATA or MPlus