Vendor Analyst managing vendor contracts, renewals, and spend control at McCarthy Tétrault. Overseeing procurement and financial management in a collaborative hybrid environment.
About the role
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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