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This listing details a tenure-track or tenured professorship in Applied Statistics at Teachers College, Columbia University, presented on HiveMined as part of its academic job board. The role sits at the intersection of data science, statistics, and education, reflecting the growing demand for statisticians who can translate quantitative methods into teaching, research, and decision-making contexts. Candidates are expected to bring a strong record of scholarship, methodological depth, and a commitment to mentoring students in a data-driven field.

Teachers College is a graduate school of education within Columbia University, known for work in learning sciences, measurement, and policy evaluation. An appointment in Applied Statistics there suggests an emphasis on statistical reasoning applied to real-world educational and social problems, including assessment, evaluation, and decision analytics. The discipline tag on the listing points toward candidates whose research uses quantitative modelling, data analysis, and evidence-based inquiry to inform practice.

The posting format on HiveMined is deliberately no-nonsense: institution, discipline, appointment type, date posted, and a listing identifier, followed by an apply prompt. Each entry is shared by a member of the community rather than posted directly by a hiring department, which keeps the board lightweight and volunteer-driven. Applicants are directed to the original listing page, so the most useful first step is to read the full advertisement and follow its own application instructions.

Tenure-track and tenured academic roles like this one typically require a research track record, teaching experience, service contributions, and a clear case for future leadership in the department. Hiring committees in statistics-adjacent disciplines often look for candidates who can supervise doctoral students, publish in respected journals, collaborate across departments, and secure competitive funding. Evidence of methodological innovation, careful attention to model bias and fairness, and effective communication with non-technical audiences tends to strengthen a candidate's profile.

Broader academic job boards for university and research careers tend to cluster into faculty posts, postdoctoral and fellowship positions, and senior or associate appointments across data science, machine learning, biostatistics, and health-related fields. HiveMined aggregates that variety into a single, readable feed, making it easier to scan shared opportunities without digging through institutional career sites. For anyone tracking academic openings in statistics, data, and quantitative disciplines, saving a query and returning regularly is a practical way to stay current.