Harvard Summer Program in Biostatistics & Computational Biology
The Summer Program in Biostatistics & Computational Biology at the Harvard T.H. Chan School of Public Health is designed to provide undergraduate students with an introduction to the field of biostatistics and computational biology, with a focus on public health applications. The program is particularly aimed at students from underrepresented groups and those who may not have extensive exposure to biostatistics or computational biology at their home institutions.
Participants in the program engage in full-time research and take part in a combination of coursework and hands-on projects. Research topics may include statistical genetics, bioinformatics, epidemiology, data science, and other areas related to public health and medicine. Students work closely with faculty mentors and graduate students to develop research skills, analyze data, and contribute to ongoing research projects.
In addition to research, the program includes lectures, seminars, and professional development workshops on topics such as career pathways in biostatistics, applying to graduate school, and scientific communication. Participants have the opportunity to present their research findings at the end of the program, enhancing their experience in scientific inquiry and communication.
Eligibility Requirements
- Undergraduate Status: Applicants must be currently enrolled as undergraduate students, typically rising juniors or seniors.
- Interest in Biostatistics or Computational Biology: Applicants should have a strong interest in public health, biostatistics, or computational biology.
- Underrepresented Backgrounds: The program is particularly aimed at students from underrepresented groups in the biomedical sciences and those with limited access to research opportunities in biostatistics or related fields.
- Academic Achievement: A competitive GPA is usually required, particularly in courses related to mathematics, statistics, and data science.
- Application Materials: Applicants are generally required to submit a resume or CV, a personal statement outlining their research interests and career goals, unofficial transcripts, and letters of recommendation from faculty members or advisors.
For thorough eligibility and selection information, visit the official website or contact the organizers directly.