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For public health and life sciences organizations to fully realize the potential gains locked within their data, they must take data science’s technological and operational building blocks and adapt them for the unique conditions of their sector. Pulling off this adaptation requires people and teams that carry a full understanding of the technologies in play and the health and science missions they’re being leveraged for.

For our data science practice for public health and the life sciences, we team elite technologists with experts from every corner of the realm, from laboratory scientists to epidemiologists. Whether we’re helping the Centers for Disease Control and Prevention (CDC) build a mission-tailored data visualization platform or standing up a secure digital biobank for the U.S. Air Force Medical Service’s valuable health research data, we understand the unique challenges our clients face and the technologies that can best be adapted to overcome them now and into the future.Ìý

In our work for CDC, the National Institutes of Health, the Military Health Service, and others, we’ve identified four main challenges that agencies must consistently overcome to build and grow data science capabilities to enterprise scale. Here’s how we tackle them head-on: