Open Rank Professor in Statistics, Social Work

measurement

data management and linkage

statistical analysis

interpretation

grant development

dissemination

Contribute intellectually to substantive research initiatives and promote rigorous, transparent, and responsible use of quantitative methods.

Maintain an active program of independent and/or collaborative scholarship appropriate for tenure and promotion, with opportunities to pursue external funding as a principal investigator, co-investigator, methodological collaborator, or statistical lead.

Teach and develop advanced level statistics and quantitative methods courses that are rigorous, accessible, and applicable to social work and related social and behavioral sciences. Teaching may include areas such as:

• multilevel and longitudinal modeling
• latent-variable methods
• causal inference
• psychometrics and measurement
• Bayesian methods
• missing-data methods
• computational methods
• machine learning
• reproducible research practices

Binghamton University offers a collegial, collaborative environment within a nationally recognized R1 research institution. Faculty benefit from competitive salaries, research support and start-up resources, and extensive opportunities for interdisciplinary collaboration and community-engaged scholarship. Binghamton's research enterprise is supported by substantial institutional investment and a university-wide commitment to translating research into meaningful impact.

Diversity and Inclusion: Binghamton University remains committed to and supports diversity and inclusion as integral to academic excellence. We actively seek applications from underrepresented racial/ethnic groups, sexual minorities, veterans, persons with disabilities, and women.

Requirements:

Requirements:

• Doctoral degree conferred by August 1, 2027 in statistics, biostatistics, quantitative psychology, or a closely aligned discipline
• Candidates whose doctorates are in social work, psychology, public health, education, economics, sociology, data science, public policy, or another closely related field will also be considered if they demonstrate a strong background in advanced quantitative analysis
• Experience working with researchers across multiple substantive areas and adapting quantitative methods
• The ability to translate substantive research questions into rigorous and feasible quantitative designs and analytic plans
• Demonstrated high-quality teaching, advising, and student mentorship
• A record of independent and collaborative scholarship

Preferred:

• Expertise analyzing complex datasets
• Experience working with large-scale data from human-service systems or other real-world settings
• Experience contributing to externally funded, team-based research
• Demonstrated ability to communicate quantitative methods to students and colleagues with varied levels of statistical preparation
• Experience with reproducible and responsible research practices, (e.g., transparent analytic workflows, data documentation, and appropriate data-sharing practices)
• Scholarship addressing social determinants of health and well-being, systemic or structural inequities
• Experience incorporating critical, anti-racist, or equity-centered perspectives into quantitative research design, measurement, analysis, and interpretation
• Potential to contribute to interdisciplinary research initiatives

Visa sponsorship is not available for this position. If you currently need sponsorship or will need it in the future to maintain employment authorization, you do not meet eligibility requirements. Additionally, please note that Binghamton University is not an E-Verify employer.

Additional Information:

Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form .

The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception.

As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here.

Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at (518) 474-6988 or via email at info@goer.ny.gov.

Binghamton University is a tobacco-free campus effective August 1, 2017.

Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials.

Application Instructions:

All applicants must apply via Interview Exchange: http://binghamton.interviewexchange.com/jobofferdetails.jsp?JOBID=205023

Review of applications will begin immediately and continue until 1/15/2027.

Please submit:
1. Resume,
2. Cover letter,
3. Portfolio of collaborative contributions containing two or three brief examples of collaborative projects. For each example, applicants should identify:

• The substantive research question and disciplinary context;
• Their role in the collaboration;
• The methodological challenges involved;
• Their intellectual and technical contributions;
• How they communicated with substantive collaborators; and
• The resulting products or outcomes.

Examples may include collaborative publications, funded or submitted grant proposals, statistical analysis plans, program evaluations, data-linkage projects, reproducible analytic workflows, policy reports, methodological appendices, or other relevant products. Applicants should clarify their individual contributions to co-authored work.

4. Contact information for three professional references

You may add additional files/documents after uploading your resume. After you fill out your contact information, you will be directed to the upload page. Please login to check/edit your profile or to upload additional documents: http://binghamton.interviewexchange.com/login.jsp.