2017 Application Form
Thank you for your interest in joining the Summer Research Program for The Young Scientist Foundation. Placements for the 2017 Summer Program have been finalized. Thank you to all that applied this year!.
This summer’s research experience is intended to go beyond a standard classroom. You will be fully immersed in a research setting and will gain first-hand knowledge of working with premier scientists on biomedical discoveries in a laboratory environment. Starting early on a path of scientific discovery, fosters creativity and inspires students to think of possibilities that can lead to innovative treatments.
The Young Scientist Foundation is committed to funding students working in research labs in order to help you realize your passion for learning and research. You are expected to participate in research projects on a full-time, 40-hour per week basis, starting in June. You will receive a stipend of $2,500 per your placement.
The goal of the our admissions process is to further the mission of The Young Scientist Foundation, which includes connecting motivated high school students with passionate mentors, in order to provide a unique opportunity to embark on careers in science by engaging in meaningful medical research. To best meet the needs of the diverse populations in Ohio and New York, and to achieve the goals of the foundation, YSF’s admissions process uses a balanced and holistic approach that considers an applicant’s academic metrics, research experience and letters of recommendation in order to achieve the educational benefits of a diverse group and future research community. The selection committee also recognizes that many applicants who are underrepresented in research come from geographically, socioeconomically and educationally disadvantaged backgrounds, and that people from these backgrounds are more likely to eventually serve disadvantaged, underserved and marginalized populations. As such, our admissions selection approach also encourages consideration of disadvantaged status, as broadly defined, in the decision-making process.