Collaboration with China Offers Unique Training Opportunity for Young Investigators

The newly established YCCI Sino-American Translational Medicine Training Program focuses on training young investigators with global vision by promoting Sino-American international collaboration in clinical and translational sciences.

It offers a unique opportunity for graduate students, post-doctoral fellows and junior faculty who are committed to clinical or translational research to travel to China for one month, join a research project and work with a mentor. Travel costs are covered and the mentorship is arranged by Global MD, a non-profit organization based in the US with a mission to improve global health through professional development, research and collaboration without borders. Global MD has been collaborating in China since 2007.

The genesis of the program came about at the 2011 Sino-American Symposium on Clinical and Translational Medicine, where participants discussed how to further strengthen Sino-American partnerships in translational sciences. China has a huge population base, substantial government investment in biomedical sciences and a strong interest in collaborating with international organizations, making it an ideal international partner for bilateral research with Yale and other Clinical and Translational Science Awards (CTSA) institutions.

The hope for this project is that it will lay a foundation for U.S. and Chinese medical institutions to collaborate on clinical and translational research, with ancillary benefits such as increased efficiency in sharing research and technology advances. For trainees, it represents an opportunity to increase their sensitivity to and awareness of clinical and translational research under a different health care system, developing a global vision that can be applied to health problems.

Applications are available here and are due on September 28, 2012 for an anticipated start date of January 1, 2013. Interested applicants should contact Nicholas Licht at 203.785.7467 or