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Position TitleBiostatistics intern
The University of Tennessee Health Science Center (UTHSC) is the
academic medical center of the University of Tennessee System located
in Memphis, TN. The Division of
consists of 7 faculty, 4 staff, and 2 postdoctoral scholars engaged in
a wide variety of collaborative and methodological research. Our
faculty members teach biostatistics courses in the College of Graduate
Health Sciences in the Epidemiology program. Our faculty also
participate in the Data Science Doctoral at the Bredesen Center with
the University of Tennessee at Knoxville, Oak Ridge National
Laboratory, and the University of Tennessee at Chattanooga. Faculty
research interests include large observational studies, clinical
trials, statistical genetics, high-throughput data, and statistical
Memphis is a mid-sized city with a distinctive cultural identity, mild
climate, and affordable cost of living. It is the home of blues
music, Elvis Presley, and barbecue. It offers the amenities of city
life (zoo, museums, concerts, parks, restaurants) in a laid-back
environment. The UTHSC campus is about 5 minutes from downtown and
the popular Midtown neighborhood; there are many affordable apartments
nearby. Most desirable residential neighborhoods within the city and
suburbs are less than 40 minutes away.
Interns will assist a biostatistics faculty researcher on a
collaborative or methodological research project. Interns will
perform data wrangling, data analysis, simulation studies, software
development, and report writing. The exact mix of these activities
will depend on the project and intern interests. It is desired that
the intern produce a tangible research product at the end of the
internship such as a software package, manuscript, or poster.
The Division of Biostatistics in the Department of Preventive Medicine
at the University of Tennessee Health Science Center in Memphis,
Tennessee invites applications for interns in biostatistics.
Interns will work with one or more of our faculty members on a
statistical project of mutual interest. Interested individuals must
have strong programming skills in at least one language (eg. R,
Python, Julia, C/C++, SAS), possess basic data analysis skills, and
have a willingness to learn biomedical science. Applicants should
possess a relevant (eg. statistics, mathematics, computer science)
bachelor's or master's degree; undergraduate students must be rising
juniors or seniors.
Most internships are 20 hours per week for 10 weeks, but total weekly
hours, start date and term are negotiable. Internships may be paid or
for credit at the student's home institution depending on
institutional policies, student and faculty mentor preference.
internship page for a list of recent interns and their projects.