How to build (and keep) a world-class data science team – Roger M. Stein

MIT Sloan Senior Lecturer Roger Stein

MIT Sloan Senior Lecturer Roger M. Stein

From MIT Sloan Management Review

The culture of world-class data science teams is one in which team members (and their managers) are excited by what their teammates can do. Here’s how to create that kind of high-performing team.

Every team needs talented people. In data science, talented people need not only to be good at what they do individually but also able to challenge their colleagues to create effective new solutions to very hard problems.

How do you build data science team to attract and retain this type of world-class talent?

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Jose-Maria Fernandez: Financial engineering for good: A New Approach to Funding Large-Scale Biomedical Innovation

MIT Sloan Researcher Jose-Maria Fernandez

There is a growing consensus that the “bench-to-bedside” process of translating biomedical research into effective therapeutics is broken. A confluence of factors explains such pessimism but among the most widespread is the sense that the current the drug development business model is flawed. The development of new therapeutics is an expensive, lengthy, and risky process that challenges traditional funding vehicles, which are limited in size, Read More »