Open Rank: Applied Quantitative Methods for Social Work

Binghamton University; City of Binghamton (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Binghamton University, a premier public R1 research institution, seeks an open-rank Professor in the Department of Social Work within the CCPA. The candidate will strengthen capacity with advanced quantitative methods and work across substantive areas including health, social policy, and education.

The role emphasizes developing or applying complex quantitative techniques to real-world data, teaching advanced statistics, mentoring students, and pursuing external funding opportunities.

Qualifications

• Doctoral degree conferred by August 1, 2027 (or by appointment) in a closely aligned quantitative discipline.
• Evidence of high-quality teaching, advising, and student mentorship.
• Experience translating substantive questions into rigorous quantitative designs and analytic plans.

Responsibilities

• Serve as a methodological partner to faculty and graduate students across the research lifecycle, including study design, measurement, data management and linkage, analysis, interpretation, and dissemination.
• Teach and develop advanced statistics and quantitative methods courses relevant to social work and related fields (multilevel/longitudinal modeling, causal inference, psychometrics, Bayesian methods, reproducible research).
• Maintain an active program of independent and/or collaborative scholarship with opportunities for external funding as PI or co-PI.
• Contribute to interdisciplinary research initiatives advancing equity and social justice through quantitative methods.

Skills

Advanced quantitative methods

Applied statistics

Multilevel modeling

Longitudinal modeling

Causal inference

Bayesian methods

Education

Doctoral degree in statistics/biostatistics/quantitative psychology or closely aligned discipline

Job description

Binghamton University, a premier public R1 research institution, seeks an open-rank Professor in the Department of Social Work within the CCPA. The candidate will strengthen capacity with advanced quantitative methods and work across substantive areas including health, social policy, and education.

The role emphasizes developing or applying complex quantitative techniques to real-world data, teaching advanced statistics, mentoring students, and pursuing external funding opportunities.