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Celebrating 10 Years! Biomedical Data Science Applications for 2026 Open in October 2025

Biostatistics - Biomedical Data Science

Our program is celebrating its 10th year! The Division of Biostatistics in the Department of Preventive Medicine at the University of Tennessee Health Science Center in Memphis, Tennessee invites applications for paid internships in Biomedical Data Science. Applications for summer 2026 will be reviewed starting October 16th, 2025 and will continue until positions are filled. We expect to have at least two positions for summer 2026.

Interns will work with one or more of our faculty members on a statistical project of mutual interest. The work is expected to lead to a tangible research product such as software package or methodological paper. 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鈥檚 or master鈥檚 degree; undergraduate students must be rising juniors or seniors.

Most internships are 20-40 hours per week for 10 weeks, but total hours are negotiable. Internships may be paid or for credit at the student's home institution depending on institutional policies, student and faculty mentor preference. Housing can be arranged through the University of Memphis at a reasonable rate, paid for by the student.

Please send a cover letter with a resume/cv to biostatintern26@uthsc.edu. In your cover letter please explain your training goals, research interests, statistical training, and computer programming experience. Applications will be accepted on a rolling basis.听

Since 2016, the division has hosted 22 interns. The most recent interns are below, or click here for our Internship Alumni page.

Biomedical Data Science Interns with the UTHSC Summer Research Scholars at the Community Science Exhibition 2024

Biomedical Data Science Interns with the UTHSC Summer Research Scholars at the Community Science Exhibition July 26th, 2025

Our Interns Success Stories

Department of Preventive Medicine interns in the news:听

Internship Alumni Page
Year Name Affiliation/Mentors Project
2025 Arnab Aich PhD 听Biostatistics, Florida State University; Mentor Yuan Zhang

As part of his internship, Arnab developed RMSTSS, a comprehensive R package and interactive Shiny web application designed to meet the growing demand for current power and sample size resources in clinical study design. This project is based on the Restricted Mean Survival Time (RMST) and offers an easy-to-understand and robust alternative to the traditional hazard ratio.听 The software suite enables research scientists to design complex studies by implementing advanced statistical methods. It accommodates a wide range of user needs, featuring both fast analytical computations and robust simulation-based bootstrapping techniques. Additionally, the accompanying Shiny program provides a user-friendly point-and-click interface, making these advanced methods accessible to non-programmers. Users can easily upload data, configure visual analysis settings, create interactive survival and power plots, and generate downloadable PDF analysis reports with just a single click.
2025 Abhirath Anand MSc 听Biostatistics, University of Michigain; Mentors Gregory Farage and Saunak Sen During his internship, Abhirath worked on developing BigRiverMetabolomics.jl, a Julia package designed for end-to-end workflows with metabolomics matrices. This is an umbrella package that depends on two component packages that were also developed during the internship 鈥� BigRiverJunbi.jl and BigRiverMakie.jl. 听BigRiverJunbi.jl is designed for seamless data preparation with 鈥榦mics data, and includes features like data imputation, normalization, transformation, and standardization. BigRiverMakie.jl uses the Makie.jl plotting ecosystem to creating visualizations of the data and the resulting analyses.
2025 Shengqiang Chen PhD 听Biostatistics, University of Memphis; Mentors Chi-Yang Chiu and Qi Zhao During my internship, I contributed to research investigating the role of metabolomics in the development and progression of sarcopenia鈥攁 condition characterized by the progressive loss of muscle mass, strength, and function in older adults. To explore this, we employed a Seemingly Unrelated Regression (SUR) model to simultaneously evaluate three key indicators of sarcopenia. This modeling approach accounted for the potential correlation between outcome errors, enhancing statistical efficiency and providing a more comprehensive understanding of the potential role of short-chain fatty acids (SCFAs) in sarcopenia.
2025 Ziyi Zhang MPH Data Science, UNC; Mentors Gregory Farage and Saunak Sen During her internship, Zoey worked on establishing a biomedical-focused Dataverse platform, a centralized, web-based resource designed to improve the discoverability and usability of publicly available health datasets. Her primary project involved building a structured public dataset inventory and conducting a user evaluation to ensure the platform鈥檚 accessibility, reproducibility, and equity in data use. In parallel, she initiated a new project on Triple Negative Breast Cancer (TNBC) DNA methylation, laying the groundwork for data downloading, processing, and statistical modeling to identify potential biomarkers and investigate epigenetic patterns.

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含羞草传媒 Memphis

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.