School of Public Health - Assistant or Associate Professor - Department of Biostatistics & Epidemiology
About The Position
The Department of Biostatistics and Epidemiology at Rutgers School of Public Health invites applications for a tenure/tenure-track faculty position in biostatistics at the assistant or associate professor level. Successful applicants will be expected to develop and sustain an extramurally funded research program, collaborate with other health researchers, contribute to our teaching mission, and mentor MPH and doctoral students. The ideal candidate will enhance our biostatistical core and complement or deepen our current department strengths, including, but not limited to: Bayesian methods, big data, causal inference, clinical trials, machine learning, mobile health data, real world evidence, survival analysis. We are especially interested in candidates who work at the intersection of biostatistics and computer science, particularly on AI methods and applications in public health. Why Rutgers School of Public Health? Our mission is to advance health and well-being and prevent disease locally, nationally, and globally by preparing students as public health leaders, scholars, and practitioners; conducting public health research and scholarship; engaging collaboratively with communities; and advocating for policies, programs, and services with a focus on equity and social justice. At Rutgers School of Public Health, you will find a collaborative environment with a diverse range of experts and resources across the school, Rutgers Health, and the wider Rutgers University community. Appointments will be made in an appropriate department within the School of Public Health, which has locations in Newark and New Brunswick. We offer multiple master's and doctoral degrees, dual-degree, certificate, and articulated BA/BS-MPH degree programs. We also offer robust online and global programming, with partnerships in China, Greece, Italy, and Tanzania. Under the leadership of Dean Perry N. Halkitis, the CEPH-accredited Rutgers School of Public Health continues to pursue dynamic and transformative growth. Join us in our mission to advance public health and make a meaningful impact on communities locally and globally.
Requirements
- Ph.D. or equivalent degree.
- Experience in developing and implementing novel statistical methods, experience collaborating with health scientists, and a passion for teaching and mentoring.
- At the Associate Professor level, candidates are expected to have a track record of extramurally funded research in statistical methodology and applications.
Nice To Haves
- An extramurally funded research program in area of particular interest for the SPH, including public health AI.
Responsibilities
- The individual will develop and lead an extramurally funded research program in the theory, methods, and/or applications of statistics in health-related fields.
- Additionally, they will develop collaborations with public health and/or clinician scientists and enhance these projects using innovative designs and methods.
- The faculty member will teach graduate level courses and advise master's and doctoral students.
Benefits
- Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:
- Medical, prescription drug, and dental coverage
- Paid vacation, holidays, and various leave programs
- Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
- Employee and dependent educational benefits (when applicable)
- Life insurance coverage
- Employee discount programs
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees
