Young Scholars Summer Program in Biostatistics and Clinical Research
A day program for students entering grades 11 and 12.
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Our Young Scholars program has concluded for summer 2026. Please check back soon for summer 2027 program application information.
Please follow the links below for application details and additional information for teachers, students, and parents.
Parents of students who are not Connecticut residents will need to confirm that the family will be staying at a local address during the program and that parents will be providing supervision.
Young Scholars Summer Program in Biostatistics and Clinical Research
In collaboration with clinical researchers, biostatisticians at the Yale Center for Analytical Sciences (YCAS) design research studies and use statistical methods to address critical problems in medicine and public health. Our YCAS Young Scholars intensive summer program provides promising high school students entering 11th and 12th grade, who excel in math, with the opportunity to learn about the work of biostatisticians in an academic environment. During this summer program, we introduce students to basic statistical methods and study designs used in medical research. We also provide instruction in “R,” a computer programming language for statistical analyses. Students work in teams and use real health science data to address study questions and develop a final presentation of their work.
Eligibility
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- Rising 11th and 12th graders (preference given to rising seniors)
- Strong math skills and academic record
- Interest in learning about statistics, computer programming, and medical research
Students should:
- be motivated team players
- have transportation to and from the program
- agree to abide by all program rules
- be able to attend pre-program meetings
- have a parent or guardian able to attend the Information Session for accepted students
- be able to make a full-time commitment to the program
- Have a laptop computer they can use for this program.
Please note: The programming portion of the curriculum tends to be challenging for students and we recommend that students have some programming experience before starting this program (e.g., Java, C++, R, Python).