Rutgers University
School of Public Health - Assistant or Associate Professor - Department of Biost
Rutgers University, Piscataway, New Jersey, United States
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.
Essential Duties and Responsibilities:
Develop and lead an extramurally funded research program in the theory, methods, and/or applications of statistics in health-related fields. Develop collaborations with public health and/or clinician scientists and enhance these projects using innovative designs and methods. Teach graduate level courses and advise master's and doctoral students. Qualifications:
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. Preferred Qualifications:
An extramurally funded research program in area of particular interest for the SPH, including public health AI. Overview of 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. Affirmative Action/Equal Employment Opportunity Statement:
Rutgers School of Public Health is an Equal Opportunity Employer. We encourage applications from individuals who contribute to the diversity of our academic community.
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Develop and lead an extramurally funded research program in the theory, methods, and/or applications of statistics in health-related fields. Develop collaborations with public health and/or clinician scientists and enhance these projects using innovative designs and methods. Teach graduate level courses and advise master's and doctoral students. Qualifications:
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. Preferred Qualifications:
An extramurally funded research program in area of particular interest for the SPH, including public health AI. Overview of 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. Affirmative Action/Equal Employment Opportunity Statement:
Rutgers School of Public Health is an Equal Opportunity Employer. We encourage applications from individuals who contribute to the diversity of our academic community.
#J-18808-Ljbffr