Month: November 2018

Your Perspectives: Strategies for Enhancing Postdoctoral Career Transitions to Promote Faculty Diversity

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Continuing our longstanding commitment to train the next generation of biomedical scientists and support the careers of students and postdoctoral scientists from diverse backgrounds, for example groups underrepresented in biomedical research, we sought input from the community through a request for information (RFI) on strategies to enhance successful postdoctoral career transitions to promote faculty diversity, specifically in research-intensive institutions. The RFI was open May 24 to July 20, 2018, and received a total of 89 unique responses from stakeholders including postdoctoral scientists, faculty members, and professional societies.

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Updated Focus of NIGMS-Supported Predoctoral Training in Computational Biology, Bioinformatics, and Biomedical Data Science

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Modern biomedical research is becoming increasingly quantitative and reliant on computational methods, with growing use of large and complex datasets to address biomedical research questions and advance human health. To help address the need for biomedical researchers with cutting-edge computational and quantitative skills, we have updated the focus areas of our Predoctoral T32 Training Program in Computational Biology, Bioinformatics, and Biomedical Data Science (formerly called Bioinformatics and Computational Biology). In doing this, we aim to better integrate training in data-science approaches throughout the curriculum and during the mentored research period. We are now placing a strong emphasis on programs that:

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