The Investigative Reporting Workshop (IRW) seeks an outstanding data journalist to lead its data and artificial intelligence journalism efforts. This role involves mentoring others, translating complex data into impactful investigative stories, and contributing creatively and strategically to the newsroom. The Data Journalism Editor handles daily and long-term data assignments for various journalism projects within IRW, a nonprofit newsroom based at the School of Communication. The Data Editor collaborates with other editors, interns, and graduate fellows on data collection, data cleaning, data management, data analysis, and data visualizations. The position reports to the Executive Editor and works under general supervision, interacting with other staff, students, faculty, and consultants at IRW. The Data Journalism Editor ensures that data-driven investigations are based on sound data management and analysis principles, and that data findings are accurate and adhere to accepted best practices in journalism. The ideal candidate will have at least three to five years of experience in data journalism, including statistical analysis and reporting stories from data, with some programming experience. Familiarity with Artificial Intelligence, Large Language Models, and their applications is preferred. The role is for a journalist passionate about finding stories within underrepresented communities and committed to accurate storytelling across platforms. Exceptional candidates with relevant skills not precisely matching the description are encouraged to apply.
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Job Type
Full-time
Career Level
Mid Level