The Biostatistics and Data Science Internship offers motivated individuals an opportunity to spend a summer placement within the Department of Biostatistics and the Office of Data Science at St. Jude Children’s Research Hospital. Interns will be matched to a faculty member and work within their team, and the internship will be project-focused with exposure to various components of our working environment. The internship is located in Memphis, TN.
Candidates should note that our internships are full-time learning experiences. You should expect to be available Monday through Friday during standard office hours May 24-July 30, 2027 (some flexibility on dates may be determined on a case-by-case basis).
Typical learning opportunities
Selected students will typically contribute to at least one of the following during their project: (1) real-world data analysis, (2) software development, and/or (3) methodology development. The exact opportunity will be developed by each faculty mentor and their respective mentee.
As an experiential and immersive program, you will develop and hone your practical skills in a broad range of areas that could include:
- Development of software for real-world applications
- Use of simulations for statistics and data science research
- Management, analysis, and presentation of real-world data
- Design of data collection instruments and data management systems
- Interpreting and communicating results to statistical and non-statistical audiences
Additionally, you may take part in a variety of activities such as hospital tours, networking opportunities, and building relationships with a variety of professionals across the institution. You will have access to a dedicated mentor to continue developing new skills.
Education required
- Interested candidates must be enrolled in an accredited college/university graduate program. Students currently pursuing an undergraduate degree are not eligible for this year’s program. Exception: students in dual degree programs (e.g., BS/MS) may apply if they are in the graduate program phase of their program.
- Candidates are accepted from all majors; an interest in math, statistics, data science, or computer science is typically expected. 3.0 GPA or above. GPA will be validated by transcripts and communication with the advisor.
How to apply
To apply, please fill out the intake survey and submit a cover letter and CV/resume as separate PDF formatted attachments to the listing at the following link: https://www.applyweb.com/forms/STJUDEBI
Your cover letter should include a statement on how participation in this internship would support your academic and career goals. For internship with Biostatistics, applicants are expected to review St. Jude Biostatistics faculty mentors and their respective research area(s) and highlight any faculty members who share the applicant's interests.
Any previous internships or work experience should be included on the CV/resume with a description of the applicant’s roles and contributions during these experiences.
Applicants are responsible for ensuring they are authorized to participate in the internship program. Students requiring visa-related work authorization should consult their institution's International Student Services Office regarding eligibility before applying.
Deadline to submit application
Applications will be reviewed on a rolling basis. We strongly encourage submitting before December 18, 2026 for full consideration, and applications submitted after January 4, 2027 are unlikely to be reviewed.
Following the application process, some applicants will be selected for interviews with potential mentors. The successful candidates are selected from the interviewed applicants.
Successful candidates qualify for a stipend. Depending on budgetary constraints, additional support may be available for housing and/or travel. Also, St. Jude has reduced-priced housing, subject to availability. However, all housing, food, transportation, and other expenses are the responsibility of the selected intern.
Potential faculty mentors
The following faculty members have expressed potential interest to mentor a student in this year’s program:
| Faculty member name | Research area for this year's program |
|---|---|
| Subodh Selukar | Survival analysis, Clinical trials methodology |
| Shuqi Wang | Adaptive clinical trial design and dose optimization |
| Zachary Wooten | Computer vision, Image segmentation, AI quality assurance |
| Haitao Pan | Clinical trial methodology, causal inference, external controls, and AI-enabled evidence engineering |
| Cai Li | Generative models, Statistical learning and AI, Functional data |
| Xuetao Lu | Clinical trial methodology, Information integration, Explainable AI (XAI) |
| Sadie Mirzaei | Survival analysis in large observational study |
| Madeleine St. Ville | Bayesian machine learning techniques for complex biomedical data |
| Various Faculty Members through the Office of Data Science | Applied biomedical data science, data analytics, AI/ML, reproducible research software, and translation of promising open source prototypes |
Note: This list of interested faculty members represents the information available at the time of opening for applications but is subject to change. Office of Data Science will aim to match strong candidates with faculty members from different departments. Additionally, the number of interested faculty members does not reflect the number of positions in this program. This will be based on internal discussions, including budgetary constraints.
Questions?
Please email BiostatIntern@stjude.org for biostatistics and ODS.jobs@stjude.org for data science internships questions. Applications submitted via email will not typically be considered. Please follow the “How to apply” instructions.