If you see internship opportunities that are interesting to you, contact your student support specialist for help in applying.
- NSF funds a large number of research opportunities for undergraduate students through its REU Sites program. An REU Site consists of a group of ten or so undergraduates who work in the research programs of the host institution. Each student is associated with a specific research project, where he/she works closely with the faculty and other researchers. Students are granted stipends and, in many cases, assistance with housing and travel. Undergraduate students supported with NSF funds must be citizens or permanent residents of the United States or its possessions. An REU Site may be at either a US or foreign location.
- The Stanford Summer Community College Premedical Program is currently offered as a six-week residential program, allowing talented and motivated community college students interested in medicine to immerse themselves in the Stanford School of Medicine network through a variety of personal and professional development experiences.
- The purpose of this program is to increase the number of community college students who participate in the NIH Summer Internship Program (SIP). In addition to performing full-time research in a laboratory or on a project at the NIH, interns will participate in workshops and courses focused on the development of academic and professional skills in preparation for careers in health care and in social, behavioral, and biomedical research.
- The Transfer-to-Excellence Program is a residential program providing nine-weeks of hands-on research experiences in the laboratories of UC Berkeley professors.
- Summer programs at the National Institutes of Health (NIH) provide an opportunity to spend a summer working at the NIH side-by-side with some of the leading scientists in the world, in an environment devoted exclusively to biomedical research (At the NIH "biomedical sciences" includes everything from behavioral and social sciences, through biology and chemistry, to physics, mathematical modeling, computational biology, and biostatistics).