Data Science and AI Research Methodologist

Position Summary
The Odum Institute for Research in Social Science is seeking a Data Science and AI Research Methodologist to provide support for UNC research programs that are implementing cutting-edge scientific methods using artificial intelligence (AI) large language models (LLMs) and other new approach methods (NAMs) to accelerate discoveries in the social health and data sciences. This position builds upon the Odum Institutes strengths in quantitative qualitative and mixed-methods research methodology training data collection and sampling design and advanced statistical analysis to promote scientific rigor and reproducibility in AI- and machine learning-powered research. The Data Science and AI Research Methodologist is a researcher with experience applying knowledge and skills in advanced statistical analysis machine learning natural language processing and AI technologies to scientific research study and experiment design big data mining and processing algorithm development and complex computational analysis. They have expertise in the ethical issues of using AI tools and other NAMs in scientific research to design and implement research methods and workflows that uphold standards for the responsible conduct of research. Ideal candidates also have a proven track record of successful cross-disciplinary research team collaboration and strong evidence of teaching excellence. The primary purpose of the Data Science and AI Research Methodologist position is to provide study project consultation research methods training data management services and grant proposal support to the UNC research community engaged in research that uses AI and other emerging technologies to meet standards of rigorous responsible reproducible science. Responsibilities of this position include: - 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. This position is ideal for a talented methodologist with a passion for research methodology innovations cross-disciplinary collaboration and research rigor and reproducibility.

Required Qualifications Competencies And Experience
- 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 Qualifications Competencies And Experience
- PhD in a relevant field or Masters 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