Assistant Professor - Department of Preventive Medicine, Biostatistics

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The University of Tennessee Health Science Center is a statewide flagship, public, academic health institution in Tennessee. Founded in 1911, the mission of the University of Tennessee Health Science Center is to improve the health and well-being of Tennesseans and the global community by fostering collaborative education, research, scientific discovery, clinical care, and public service. Employing more than 4,600 people on its faculty, staff, and not-for-profit corporation faculty practice groups, and with more than 3,200 students across the state, UT Health Science Center contributes $4 billion to the economy of Tennessee.

Part of the University of Tennessee System, the Health Science Center is headquartered in Memphis and includes all six of UT’s doctoral-degree-granting health science colleges -- Medicine, Dentistry, Pharmacy, Nursing, Graduate Health Sciences, and Health Professions. UT Health Science Center spans the state with its four major, regional clinical health science locations in Memphis, Knoxville, Chattanooga, and Nashville, as well as more than 100 clinical education sites across Tennessee.

UT Health Science Center is the largest educator of health care professionals in the state and operates the state’s largest residency and fellowship advanced training programs.

Located in West Tennessee on the banks of the Mississippi River, Memphis is the second-largest city in the state and among the largest cities in the Southeast. The Greater Memphis metropolitan area has more than 1.3 million residents, and the city ranks among those with the lowest cost of living in the country. It is home to a vibrant restaurant scene, a revitalized Downtown, the Midtown Arts District, many scenic neighborhoods, an active medical district, and a burgeoning airport in the midst of a $214 million modernization.

The University of Tennessee Health Science Center, Department of Preventive Medicine, is seeking a tenure-track full-time Assistant Professor in Biostatistics. The successful candidate will be expected to develop a diverse research portfolio with a mixture of collaborative and independent methodological research. All areas of biostatistics are of interest; we are especially interested in candidates with a demonstrated interest in artificial intelligence, high-dimensional data, and causal inference.

We are looking for an individual with the ability to think critically and with a body of creative work applying statistical principles and computational techniques to biomedical science.

Methodological research that results in peer-reviewed publications;
Collaborative research, including assistance with grant applications and data analysis on funded grants; teaching of 1-2 graduate courses per year and supervision of graduate students; and internal consulting in our Biostatistics, Epidemiology and Research Design (BERD) unit.

EDUCATION:

Ph.D. in Statistics, Biostatistics, Computer Science, Mathematics or related area.

DEPARTMENTAL PREFERENCES:

Strong research track record (publications in peer-reviewed journals, published software or other research products).
Experience teaching in graduate or undergraduate courses, and mentoring students.
Ability to lead small teams of programmers and data analysts.
Strong written and verbal communication skills.