At NIH, we are heavily invested in our workforce and in understanding the barriers they face. What characteristics do they share? How do they compete in the current hypercompetitive environment? When do they stop applying to NIH (drop out), even after receiving their first award? Staff from the National Institute of Allergy and Infectious Diseases (NIAID) delve into these questions in a paper published recently in PLOS ONE , whose findings I’d like to highlight today. Here, Drs. Patricia Haggerty and Matthew Fenton looked at factors that may contribute to the success of early-career investigators and if these factors affect all junior researchers equally. Continue reading
By the 21st Century Cures Act, the Next Generation Researchers’ Initiative calls on the NIH to develop policies to increase funding opportunities for new researchers seeking to secure early independence. To put the Initiative in perspective and to extend on previous blogs we’ve posted on changing demographics in NIH-funded researchers, we thought it would be useful to explore trends according to career stage.
First, some definitions. We define “Early Stage Investigators” (ESI) as those who are within 10 years of completing their terminal degree or post-graduate clinical training and who have not yet secured independence as a PI of a substantial NIH research award. …. Continue reading
NIH realizes that, as stewards of the American investment in biomedical sciences, we must do all we can to protect the future of the biomedical research enterprise, taking additional measures regardless of our budget situation. In the opening pages of this blog, we noted that our increasingly hypercompetitive system is threatening the future of biomedical research and of the hundreds of thousands of scientists who we look to for discovering tomorrow’s cures. This is a strange irony, given that the last 25-50 years have been times of extraordinary discovery and progress in basic, translational, and applied science. Death rates from cardiovascular disease have plummeted, and death rates from cancer are falling steadily. Scientists have a much deeper understanding of human biology to the point where this knowledge can drive the design of drugs and biologics. Big data and high-throughput technologies now enable rapid development and testing of hypotheses that previously would have taken years. The successes are myriad. But so are the problems, problems so real that some have gone so far as to write, “It is time to confront the dangers at hand and rethink some fundamental features of the US biomedical research system.” …. Continue reading