15 Statistics Internships for High School Students
If you’re in high school, participating in an internship can offer you a powerful way to build experience, enhance your resume, and explore career interests before entering college. By working alongside professionals and contributing to real-world projects, you will gain valuable technical skills and a better understanding of how academic concepts apply in the workplace. For those interested in statistics, or more generally in mathematics, data analysis, or research, statistics internships can provide meaningful opportunities to see how data drives decision-making in fields like healthcare, economics, technology, and public policy.
Whether you’re passionate about analyzing trends, building predictive models, or conducting research with real-world implications, statistics internships can help you build foundational knowledge and confidence even as a high schooler. These opportunities often include mentorship, exposure to statistical software, and chances to present your findings in professional or academic settings.
In this blog, we’ve narrowed down a list of 15 high-quality statistics internships for high school students that offer rigorous learning experiences across sectors. Each one has been selected for its hands-on learning, mentorship, and relevance to future study or careers in data science and statistics.
1. Simons Summer Research Program
Location: Stony Brook University, New York
Acceptance Rate: Highly competitive
Dates: July 1 – August 9
Application Deadline: February 7
Eligibility: High school juniors (16+) who are U.S. citizens or permanent residents
Stipend: Stipend offered
This intensive 6-week research internship allows high school juniors to conduct original research under the guidance of Stony Brook faculty. You’ll be paired with a mentor and contribute to a faculty-led project in STEM, culminating in a research abstract and poster presentation. If you’re interested in statistics internships, you can request placement in the Applied Mathematics & Statistics Department, where past projects have included high-performance computing, machine learning, and biological simulations. The program offers access to labs, lectures, and opportunities for collaboration with university researchers. It presents a strong opportunity for students seeking to deepen their experience with quantitative research and statistical modeling.
2. Ladder Internships
Location: Remote
Acceptance Rate: Highly selective
Dates: Multiple 8-12 week cohorts throughout the year
Application Deadline: Rolling deadlines, depending on cohort
Eligibility: High school students able to commit 10-20 hours/week; Also open to undergraduates and gap year students
Cost: Varies by program; Need-based financial aid available
Ladder Internships offers high school students the opportunity to work directly with startups on real-world data problems through a project-based, remote internship. You’ll receive one-on-one mentorship from both a startup manager and a Ladder Coach, ensuring guidance throughout your internship. Weekly professional development workshops help build data communication, time management, and research skills. The program culminates in a final presentation of your work. This is a strong option among statistics internships for high school students, particularly for those seeking to explore data science in a flexible and remote setting.
3. OSTEM Internships – NASA Office of STEM Engagement
Location: Various NASA centers and facilities nationwide (some virtual options available)
Acceptance Rate: Highly competitive
Dates: Spring, summer, and fall sessions available
Application Deadline: Spring: September 12; Summer: February 27; Fall: May 22
Eligibility: High school students aged 16+ who are U.S. citizens; Specific eligibility may vary by project
Stipend: Paid
NASA’s OSTEM internships allow high school students to work directly with professional scientists, engineers, and data analysts across a variety of STEM fields. You will be matched with mentors and participate in real NASA research projects related to technology, engineering, and space science. You can apply to projects involving data analysis, computational modeling, and space mission analytics. Internships can be part-time or full-time and vary by location and session.
4. NIST Summer High School Intern Program (SHIP)
Location: Gaithersburg, Maryland, or Boulder, Colorado (varies by placement)
Acceptance Rate: Highly selective
Dates: Typically runs from June – August
Application Deadline: Early spring
Eligibility: U.S. high school students, at least 16 years old, with a strong academic background and interest in STEM
Stipend: Paid
NIST’s SHIP program places high school students in world-class laboratories to conduct research in areas such as engineering, materials science, computing, and applied mathematics. You can select your top lab preferences, including the Information Technology Laboratory (ITL) and Communications Technology Laboratory (CTL), both of which feature projects in statistics, data modeling, and algorithm development. You’ll work alongside scientists, contribute to active research, and may help with coding, machine learning, or statistical simulations. This internship gives direct exposure to advanced measurement science and national research initiatives.
5. Science and Engineering Apprenticeship Program (SEAP) – U.S. Department of the Navy
Location: 38+ Navy research labs across the U.S.
Cohort Size: ~300 students accepted annually
Dates: 8 weeks in summer (exact dates vary by lab)
Application Deadline: August 1 – November 1
Eligibility: U.S. high school students (16+) who have completed grade 9; Graduating seniors are eligible
Stipend: $4,000 (new participants); $4,500 (returning participants)
SEAP provides high school students with the chance to conduct paid research at the Department of the Navy laboratories under the mentorship of professional scientists and engineers. Over eight weeks, you’ll be matched with a Navy lab that aligns with your academic background and interests. You can explore labs focused on data modeling, applied mathematics, and computational research. The program emphasizes real-world STEM learning and career exploration, with many alumni pursuing future work in defense research and technology. You have to apply early and select your preferred labs as part of the application process.
6. Idaho National Laboratory (INL) High School Internship Program
Location: Idaho National Laboratory, Idaho Falls, Idaho
Acceptance Rate: Selective
Dates: 6-8 weeks in the summer
Application Deadline: February 28
Eligibility: Rising juniors, seniors, or recent graduates who are U.S. citizens or permanent residents; Must be at least 16 years old with a minimum 3.0 GPA
Stipend: Paid
INL’s High School Internship Program offers students the chance to contribute to real-world STEM research while gaining mentorship from leading scientists and engineers. You are placed on projects spanning nuclear energy, cybersecurity, environmental science, and data analysis. You may work on projects involving quantitative modeling, cybersecurity analytics, or energy systems research. The program emphasizes professional development and technical skill-building in a collaborative environment.
7. SPARK Summer Mentorship Program
Location: Seattle, Washington (local in-person & remote options)
Acceptance Rate: Highly competitive
Dates: Summer (exact dates vary by project)
Application Deadline: April (tentative)
Eligibility: High school students (grades 9-12), at least 15 years old by June 1; U.S. citizens/permanent residents; Seattle-area residents
Stipend: Paid and unpaid opportunities available
SPARK pairs motivated Seattle-area high school students with professional mentors in STEM, data science, software, and related fields. You’ll collaborate on real projects such as coding, AI/ML, data analysis, or technical writing and present your findings. This is a strong option for data-driven internships, since projects often involve data analysis, machine learning algorithms, or statistics, as indicated by tags like “Data Visualization” and “AI/ML” on available mentorships. SPARK emphasizes hands-on learning, professional communication, and long‑term impact; In fact, several past students continue their work with mentors or co-author conference papers.
8. Aspiring Scientists Summer Internship Program (ASSIP)
Location: George Mason University (in-person, remote, or hybrid)
Acceptance Rate: Highly competitive
Dates: June 18 – August 8
Application Deadline: February 2
Eligibility: High school students 15+ (for computer lab placements) or 16+ (for wet labs); strong interest in STEM required
Stipend: Unpaid
ASSIP places high school students alongside faculty mentors to conduct original research in fields such as computational biology, computer science, data science, and more. You will work on projects involving data analytics, epidemiological modeling, or machine learning. You’ll receive training in research ethics, scientific communication, and laboratory safety. You may also have the opportunity to co-author papers or present at conferences.
9. Los Alamos National Laboratory (LANL) High School Internship Program
Location: Los Alamos National Laboratory, New Mexico
Acceptance Rate: Selective
Dates: Summer session runs for 10 weeks (full-time); part-time options available during the school year
Application Deadline: April 15
Eligibility: Must be a high school senior enrolled at a New Mexico high school, age 16+, with a minimum 2.75 GPA
Stipend: Paid (hourly wage)
LANL’s High School Internship Program gives New Mexico high school seniors the opportunity to gain hands-on experience working with top researchers across science, technology, business, and engineering fields. You will work with data analysis, cybersecurity, or computational modeling projects depending on your skills and placement. You will work part-time during the academic year and full-time in the summer, with mentorship and project-based learning at one of the country’s leading national labs. Applicants must submit a transcript, resume, and personal statement.
10. DSI Summer Lab
Location: University of Chicago
Acceptance Rate: Competitive
Dates: June 16 – August 8
Application Deadline: January 16
Eligibility: High school students from Chicago; Familiarity with at least one programming language and coursework in statistics, math, or computer science preferred
Stipend: $4,800 stipend
The DSI Summer Lab is an eight-week paid research internship where you’ll collaborate on interdisciplinary projects focused on applied data science. You’ll work with mentors from the university and gain experience in statistical analysis, machine learning, and data visualization. Projects span a wide range of fields, including climate policy, healthcare, and energy systems, allowing you to explore how data can drive real-world solutions. If you’re a Chicago-based student with coding experience and an interest in statistics, this is a top-tier opportunity to build your research portfolio.
11. The Intern Project (TIP)
Location: Various sites across Los Angeles County
Acceptance Rate: Competitive
Dates: June 17 – August 9
Application Deadline: March 1
Eligibility: 10th-12th grade students in LA County, including DACA/undocumented youth, foster youth, and system-involved youth
Stipend: Paid (stipend amount varies by placement)
The Intern Project (TIP) places high school students into paid summer internships across industries, including tech, business, and healthcare. If you're interested in statistics, you can apply to placements in data analytics, machine learning, and software development, where you'll gain experience with Python, JavaScript, and data visualization tools. These roles emphasize statistical reasoning and applied math skills, giving you practical exposure to the tools professionals use in tech and quantitative fields. TIP is especially valuable for students seeking both professional development and mentorship in real-world settings.
12. EDIT ML Summer Internship Program
Location: Virtual
Acceptance Rate: Competitive
Dates: April 15 – June 15
Application Deadline: April 15
Eligibility: High school students with a strong background in computer science and mathematics
Cost/Stipend: None
The EDIT ML Summer Internship Program trains high school students to apply machine learning techniques to real-world healthcare problems. You’ll work directly with medical data to develop tools that can help improve diagnostics, imaging analysis, and patient care. Projects may include natural language processing of clinical notes, medical image segmentation, and predictive modeling. You'll also gain hands-on experience with Python, R, probability, linear algebra, and high-performance computing tools, making this a valuable opportunity if you're interested in combining statistics with AI in healthcare.
13. NASA GeneLab for High Schools (GL4HS)
Location: Remote (NASA Ames Research Center)
Acceptance Rate: Selective
Dates: June 2 – August 29
Application Deadline: April 9
Eligibility: U.S. high school students entering grades 11 or 12 or recent graduates with a 3.0 GPA, basic biology coursework, and internet access
Cost/Stipend: None
GL4HS is a remote internship that introduces you to bioinformatics and statistics using real genetic data from NASA spaceflight experiments. You’ll work in small teams analyzing large-scale biological datasets using statistical models, probability, and coding tools. With the guidance of expert mentors, you'll explore how microgravity and radiation affect gene expression and present your findings at the program’s end. This internship is ideal for those who want to apply statistical reasoning in the context of biology, genomics, and space science.
14. MathILy-Er
Location: Remote (project-based with mentor organizations)
Acceptance Rate/Cohort Size: Selective; ~20-30 students per cohort
Dates: June 23 – August 15 (8 weeks, flexible scheduling)
Application Deadline: April 30 (tentative)
Eligibility: High school students (grades 9-12) with strong math backgrounds
Cost: $1,500 (financial aid and scholarships available)
MathILy-Er offers a mentored, math-intensive summer experience that simulates a statistics or math-focused internship. You’ll be matched with partner organizations and work on real-world projects involving mathematical modeling, algorithm development, and data analysis. The program emphasizes independent problem-solving and the use of technical tools like Python or R, under close mentor supervision. Though not a traditional internship, MathILy-Er’s structure helps you apply advanced math in professional contexts and culminates in a final project showcase.
15. Computer Science Internship Program – Colorado School of Mines
Location: Virtual and in person
Acceptance Rate: Selective
Dates: June 1 – August 6
Application Deadline: April 18
Eligibility: High school students interested in computer science and mathematics
Cost: $100 (scholarships available)
This internship provides high school students with the opportunity to explore the intersection of statistics, computer science, and mathematics through guided project work. Whether you participate remotely or in person, you’ll develop skills in logical reasoning, programming, and algorithm design, all critical to statistical computing and data analysis. Projects are designed to strengthen your mathematical thinking and prepare you for advanced study or work in STEM. Prior experience is not required, making this a great entry point for aspiring statisticians and coders alike.
Image Source - NASA logo