Computational Legal Scientist supporting empirical research needs at Duke Law School. Guiding faculty and students on research design and data preparation with focus on data literacy.
Responsibilities
Guide faculty and students in research design, methodology, and empirical project best practices.
Support AI-assisted legal and policy research.
Coordinate and implement workflows to prepare datasets for research use.
Extract, clean, and organize raw data from websites, social media, and PDFs.
Build automated data workflows using programmatic tools.
Use and develop AI-powered research tools including ML, NLP, and LLM techniques.
Support grant and IRB applications.
Track and manage Data Lab projects and reporting.
Recruit and supervise student research assistants.
Ensure data management standards for privacy, security, and auditability.
Advise on data management, AI, and ML concepts across the Law School.
Requirements
Bachelor’s degree in statistics, mathematics, computer science, engineering, applied social science, data science, or related field
4+ years of progressive experience in computational social science, including data capture, cleaning, analysis, machine learning, NLP, and database administration
Proficiency in Python and/or R
Skills in survey development, machine learning, NLP, statistical analysis, and LLM integration
Experience with web scraping, HTML/JavaScript, and electronic document parsing.
Proficiency with Linux-based environments.
Strong communication, teamwork, and independent learning skills.
Benefits
Competitive salary
Flexible working hours
Professional development budget
Opportunities to work with leading faculty and innovative research centers
Engage with the broader Duke and Research Triangle data community
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