• Scientists should learn from Jeff Bezos

    To create truly transformative impact in the world, a scientist must systematically innovate over decades in areas overlooked by others. How can you model yourself after this ideal? You could study Nobel Prize winners, but you’ll risk getting stuck in the scientific details and miss the general themes. Better to examine a non-scientist and capture…

  • What scientists should learn from Elon Musk

    I’d like to present a review of the 2023 biography Elon Musk by Walter Isaacson, including an analysis of what scientists should learn from Elon Musk. Setting the stage Scientists are trained to dream small. Of course, there are good reasons for this reductionism. Our collective scientific knowledge has advanced to the point where the…

  • Lifelong learning as a scientist

    Developing a practice of lifelong learning as an established scientist is essential to your continued professional development and happiness. By the time you become an industry scientist, you may have spent 25 years or more on your education and training. But you’re not done learning. To the contrary, if you want to excel, you need…

  • How to get promoted as a scientist

    You and everyone else thinks they should be promoted. As a scientist, you were likely never taught specific strategies to navigate and excel in the corporate world. So how do you set yourself apart and get that promotion you deserve? In this article, we’ll outline strategies to get you promoted in service of your long…

  • Accelerate your scientific career with a coach

    Hey scientist, why don’t you have a professional career coach? You’ve probably never thought you needed one. You’ve likely never heard another scientist rave about how a career coach for scientists transformed their professional life. Maybe you think you have a pretty good mentor and a strong support structure in your peers, family, and friends….

  • The path from scientist to data scientist

    A natural transition The transition from scientist to data scientist is achievable. As a scientist you’ve been trained to dive into the murky waters of real world data and emerge with meaningful insights. You’re an expert at assessing causality (probably more expert than many data scientists) and won’t be fooled by spurious correlations. You understand…