Workforce Development


Extracting full value out of data requires people – a community of people with the knowledge and skills to develop and utilize methods and tools. The methods and tools of today are based on the investments made in the past – investments in time and money; future discoveries and developments rely upon a continued investment in human capital. The Office of the Associate Director for Data Science is committed to support and highlight the NIH’s investment in the Data Science workforce, through extramural and intramural training opportunities.

Upcoming Training

New training information coming soon!

NIH Data Science Workforce Development Center

The NIH Data Science Workforce Development Center will be both an organizational structure for finding online educational resources in biomedical data science and the subset of those educational resources that are held at NIH or funded by BD2K. The NIH Data Science Workforce Development Center includes the development of open course materials and online courses, the hosting of in-person courses, and the discovery of educational resources.

Learn More About Plans for the NIH Data Science Workforce Development Center


Highlighted NIH Resources for Data Science Training

Data Science training opportunities occur all across the Institutes and Centers at the NIH. The Office of the Associate Director for Data Science is committed to highlighting and supporting ongoing activities in this area. Some examples of existing programs include:

National Institutes of Health Library Training Program

The NIH Library provides training programs in more than just literature search! Past programs have included classes on clinical and experimental data access, data visualization tools, programming languages like R, and workshops by Software Carpentry.

Read More About Data Science Training at the NIH Library

National Cancer Institute Statistical Code Review Group

Reviewing someone else’s code is one of the best ways to learn how to do something new and code review is a great way to make sure you have taken a good approach. This collaborative at the National Cancer Institute is open to investigators writing statistical code from all NIH Institutes and Centers.

Read more about the NCI Statistical Code Review Group

NIH MOOC Study Hall

Are you taking a Data Science MOOC but wish you could have face-to-face discussion too? Meet up with other online!

Find Out More About the MOOC Study Hall

This page last reviewed on May 21, 2019