In the decades ahead, the pace of biomedical discovery will continue to accelerate. The state of an individual will be characterized with increasing precision from the molecular level to genomic parameters to the organ level and for interactions with medications, nutrients, the microbiome, therapeutic devices, and the environment. The size and complexity of high-dimensional characterization of patients will lead to far more complex diagnostic and prognostic categories than are currently in use. The multivariate descriptors of large populations will allow stratification of kinds only seen in the most recent genomically-informed clinical trials. Complex, but empirically validated, algorithms will be embedded in electronic health record systems as decision support tools to assist in everyday patient care. Those management algorithms will evolve and be modified continuously based on inputs from ongoing clinical experience and from new research. Whether developing basic computational methods, modeling molecular mechanisms, or engineering new clinical applications, students with a quantitative orientation and love of data analytics will be the future engineers of innovation in biomedicine.
If you are an undergraduate with a strong quantitative background and interested in innovation and methodological rigor in your approach to scientific inquiry in biomedicine or in the translation of computational methods to engineering/software applications in medicine, this is the summer program for you.
The DBMI/HST Summer Institute in Biomedical Informatics, now in its eleventh year, is currently sponsored by the NIH-funded BD2K (Big Data to Knowledge) program and conducted in partnership with the Harvard-MIT Division of Health Sciences and Technology (HST). This is a nine week program which offers a combination of didactic classroom lectures with nationally known thought leaders in all areas of biomedical informatics, a mentored research internship, and a communications tutorial. Stipend, travel and housing in MIT dorms are provided. Research mentors are carefully matched to student interests and expertises and are chosen from the Harvard Medical School (including the HMS teaching hospitals), Harvard School of Public Health and MIT faculties.
Our ideal candidate is an undergraduate with quantitative interests and skills who aspires to contribute to translational advances in biomedicine with a PhD or research-oriented MD or MD/PhD. This is not a program for students seeking a summer research experience in order to enhance your competitiveness for entry to medical school.
The application cycle opens on November 1 and closes on January 31. The program starts the second Monday in June and ends on the first Friday in August. Apply here.