Duke offers educational and training opportunities for all levels of students. Explore opportunities for undergraduate students, graduate students and postdoctoral fellows, fellowships, and study abroad opportunities.
The Summer Scholars Program provides opportunities for students to learn first-hand what it is like to conduct biomedical research. They gain fundamental laboratory skills, enhance critical thinking and reading skills, conduct literature reviews, and learn to present research findings. The experiences they gain, such as how to design a research project, how to carry out necessary experiments to achieve project goals and test hypotheses, what appropriate lab etiquette entails, and how to effectively present work to peers, will be applicable to any biomedical research setting.
CAGPM has partnered with the Big Ideas Lab and Bass Connections to form the Equity and Efficiency of Using Wearables Data for COVID-19 Monitoring Bass Connections team. CovIdentify’s overarching objective is to implement existing digital biomarkers and establish new digital biomarkers to develop, validate and translate CovIdentify as a continuous screening tool. This project team is helping to improve and expand the CovIdentify study by designing a new database system suitable for large-scale data analysis and recruiting members from underserved populations to participate in the study.
Learn more about Equity and Efficiency of Using Wearables Data for COVID-19 Monitoring
This program provides Duke undergraduate students an opportunity to participate in a faculty-mentored research project in applied genomics and precision medicine.
The School of Medicine's Office of Biomedical Graduate Education (OBGE) offers 17 different graduate programs. The OBGE website lists all of the programs and descriptions of each. Applications to all biomedical Ph.D. programs (except the Medical Scientist Training Program) are submitted through the Graduate School at Duke.
The Pratt School of Engineering's Biomedical Engineering department offers a Ph.D. track and Master's degree tracks. The BME program is ranked among the best biomedical engineering programs in the world.
The Duke Center for Applied Genomics and Precision Medicine offers a two-year post-doctoral training program in genomic medicine. This unique program provides training in a fast-growing field marked by the advent of new technologies, increased use of clinical genomic medicine, and large-scale federally- and privately-funded research efforts.
The objective of the program is to foster the development of physicians who are both excellent clinicians and investigators in the arena of medical genetics and genomics. The Medical Genetics and Genomics Residency program is open to MD applicants who have completed a minimum of one year of residency in an ACGME-accredited program (usually pediatrics or internal medicine, although other disciplines may also be acceptable).
Learn more about the Medical Genetics and Genomics Residency program
The Medical Genetics and Genomics residency program includes specialties in medical biochemical genetics, clinical biochemical genetics, and laboratory genetics and genomics. The goal of the Medical Biochemical Genetics program is to provide specialized training in the field of inborn errors of metabolism, for MDs who have completed a residency in medical genetics and genomics. The goal of the Clinical Biochemical Genetics and Laboratory Genetics and Genomics programs is to train MDs, or scientists with a PhD in genetics or a related field, to become clinical laboratory directors.
The Duke CTSA TL1 postdoctoral program is a 2-year training program aiming to provide 2 years of funded time to support the research training of outstanding junior scientists. We welcome applications from all eligible potential postdoctoral fellows in the Schools of Medicine and Nursing, but we have particular interest in applicants who are interested in broadening their previous training to include a new category of research methodology (e.g., bench science trainees looking to gain training in translational or clinical research, or vice versa). We also have particular interest in applicants looking to obtain training in data science methodology. The Duke CTSA TL1 will typically be for two years, will provide tailored professional development support, an NIH-scale postdoctoral stipend, as well as federally-designated training-related expenses.
The Duke AI Health Data Science Fellowship Program is a 2-year training program in data science with direct application for healthcare. Designed for early-career data scientists with strong backgrounds in quantitative discipline, the program is part of a multidisciplinary, campus-spanning initiative that applies machine learning and quantitative sciences to rich sources of healthcare and administrative data, using the insights gained to improve healthcare delivery, quality of care, and the health of individuals and communities.
The Duke CTSA TL1 physician fellowship is a 2-year training program aiming to provide 2 years of funded time to support the research training of physician-scientists. All eligible physician trainees may apply, but we have particular interest in applicants who are interested in broadening their previous training to include a new category of research methodology (e.g., applicants with a bench science background looking to gain training in translational or clinical research, or vice versa). We also have particular interest in applicants looking to obtain training in data science methodology. The Duke CTSA TL1 will typically be for two years, will provide tailored professional development support, an NIH-scale postgraduate stipend, as well as federally-designated training-related expenses.
The International Research Experience for Students (IRES) is expanding boundaries in genomic research. This unique program embeds Duke graduate students studying genome sciences in interdisciplinary labs in top academic institutions in Berlin, Germany. IRES brings together an international team of mentors to offer cross-training in three areas: High-throughput genomics, computational biology and developmental systems.