| Literature DB >> 31334235 |
Sabine J van Dijk1, Andrea A Domenighetti2,3, Natalia Gomez-Ospina4, Patricia Hunter5, Caroline A Lindemans6,7, Veerle Melotte8,9, Annemarie M C van Rossum10, Norman D Rosenblum11.
Abstract
Biomedical scientists aim to contribute to further understanding of disease pathogenesis and to develop new diagnostic and therapeutic tools that relieve disease burden. Yet the majority of biomedical scientists do not develop their academic career or professional identity as "translational scientists," and are not actively involved in the continuum from scientific concept to development of new strategies that change medical practice. The collaborative nature of translational medicine and the lengthy process of bringing innovative findings from bench to bedside conflict with established pathways of building a career in academia. This collaborative approach also poses a problem for evaluating individual contributions and progress. The traditional evaluation of scientific success measured by the impact and number of publications and grants scientists achieve is inadequate when the product is a team effort that may take decades to complete. Further, where scientists are trained to be independent thinkers and to establish unique scientific niches, translational medicine depends on combining individual insights and strengths for the greater good. Training programs that are specifically geared to prepare scientists for a career in translational medicine are not widespread. In addition, the legal, regulatory, scientific and clinical infrastructure and support required for translational research is often underdeveloped in academic institutions and funding organizations, further discouraging the development and success of translational scientists in the academic setting. In this perspective we discuss challenges and potential solutions that could allow for physicians, physician scientists and basic scientists to develop a professional identity and a fruitful career in translational medicine.Entities:
Keywords: basic scientist; biomedical sciences; career track; physician scientist; translational medicine; translational scientist
Year: 2019 PMID: 31334235 PMCID: PMC6618343 DOI: 10.3389/fmed.2019.00151
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Summary of major problem encountered by scientist pursuing a career in translational science and proposed solutions.
| The incentive and reward system within academia is poorly aligned with a career track in translational medicine | Academic institutions need to establish better evaluation processes for retention and promotion of their translational scientists: |
| The number of clinician scientists is declining due to longer training, high education costs and challenges combining clinical service and research | - Integrated training in biomedical science and clinical training, with a stipend and tuition allowance that helps reduce debt accumulation |
| The highly focused training of basic scientists with limited interdisciplinary or clinical exposure poorly prepares basic scientist for the collaborative nature of translational medicine | - Training in an interdisciplinary environment, including exposure to the clinic, will prepare basic scientists to excel in a collaborative translational research environment |
| The unique requirements of translational medicine, such as significant longer timelines, much larger number of lab members that can be funded with an average grant, larger overhead costs extending beyond the immediate duration and focus of the project, are not met by the current funding system | - Adjust time lines of grants, possibly by making funding for the next phase conditional on researching milestones |
| Building an infrastructure to promote education and research in translational medicine is a resource-intensive enterprise | - Creation of and funding for centralized “hubs” or “cores” that are characterized by shared, multidisciplinary use of expensive laboratory equipment, data power and complex professional skills (e.g., genomics, imaging, flow cytometry, animal facilities, data, and biobanking) that are necessary to support large translational research projects |