FACULTY VACANCY ANNOUNCEMENT

The Biostatistic faculty member will be either an Assistant, Associate or Full Professor who will play a pivotal role in enhancing the School of Medicine's biostatistical core, complement and deepen our current academic departments bioscience strengths. The Biostatistician will be the academic subject matter expert in Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, public health and medical intervention analysis.

Reporting to the Department Chair of CHASM, the Biostatistician will be responsible for but not limited to the following:

• Developing and leading an extramurally funded research programs in the theory, methods, and/or applications of statistics in health-related fields.
• Initiating and maintaining collaborations with community health, population health and/or clinician scientists and enhance research projects using innovative designs and methods.
• Teaching undergraduate and graduate level courses and advise master's and doctoral students in the biomedical sciences; Mentoring students, trainees, and junior faculty.
• Developing and sustaining an extramurally funded research programs, collaborate with other health researchers, contribute to SoM teaching and research development mission.
• Participate in multidisciplinary biomedical and computational collaborations with investigators across the SoM; Conduct methodological and applied research in biostatistics
• Participate in departmental, institutional, and national activities and community organizations related to biostatistics and biomedical sciences.
• Provide biostatistical support for the NIH funded Research Center for Minority Institution
• Collaborate and provide biostatistical support for grant applications
• Perform related duties as assigned by the Department Chairperson or designee

QUALIFICATIONS

M.D. or Ph.D. in Statistics, Biostatistics, or a closely related field, as well as a record of significant achievement in profession or field of expertise.

PREFERRED:

• Experience in developing and implementing novel statistical methods, experience collaborating with health scientists, and a passion for teaching and mentoring.
• An extramurally funded research program in areas of particular interest to the School of Medicine, including computational science, population health, and Artificial Intelligence (AI).
• Demonstrated experience in machine learning/Artificial intelligence and Bayesian methods.
• Causal inference for observational, interventional studies, and clinical trials methodology experience.
• Analytical skills of electronic health records and other real-world data is a plus.
• A strong record of peer-reviewed publications and extramural funding commensurate with rank.
• Demonstrated excellence in collaborative research in clinical and translational science.
• Experience in biostatistics teaching and mentoring.
• At the Full Professor level, evidence of sustained scholarly leadership and national or international recognition.
• At the Associate Professor level, candidates are expected to have a strong track record of extramurally funded research in statistical methodology and its applications.
• At the Assistant Professor level, candidates are expected to demonstrate a clearly defined area of research focus with a strong publication record.
• Team player with exceptional communication skills and experience working in multicultural environments.
• A deep understanding of the importance of health, education, and healthcare disparities in higher education, along with experience developing models to understand their impact on outcomes

COMPENSATION

Med Faculty Basic - Open Rank

Medical Assistant Professor (Basic) - $80,982 - $128,748
Medical Associate Professor (Basic) - $100,052 - $149,375
Medical Professor (Basic) $119,128 - $169,995

Salary commensurate with education and experience.

CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.

HOW TO APPLY

Visit www.cuny.edu, access the employment page, log in or create a new user account, and search for this vacancy using the Job ID or Title. Select "Apply Now" and provide the requested information.

Candidates should provide a CV/resume and statement of scholarly interests.

CLOSING DATE

Open until filled. Review of resumes to begin on June 17, 2026.

JOB SEARCH CATEGORY

CUNY Job Posting: Faculty