Everything you want to know about leadership, influencing, and create alignment to move forward effectively as a statistician. This is about administrative leadership as well as leading without a title like in cross-functional teams.
This is a very special episode. More than 2 years have passed since Benjamin and I started this podcast. And today, we are looking back and discuss the last 2 year’s learnings. We discuss the 9 learnings we had and how they apply to you as a listener as well. Specifically, we talk about:
As statisticians, we are one of the most capable professionals to understand and to relay the right information to the general public about the most talked-about situation – the Corona Virus. In today’s episode, I want to express what’s on my mind and on my heart about this topic. It’s a bit of an unusual …
Learnings from the COVID crisis for statisticians Read More »
Interview with Stephen Pyke Many statisticians stay in the statistics department for their entire career. But not Stephen Pyke. After climbing the corporate ladder in statistics very high at GSK, his career brought him to various parts of the pharma world – and his new job is a combination of lots of aspects – including …
Interview with Liz Cole Do you know what your external profile is? Do you know how to improve it? In today’s episode, Liz Cole and I will dive deep into a topic called content marketing. It’s kind of meta, since this podcast itself originates on these ideas. Does this sound frightening or disturbing? It shouldn’t. …
Interview with Christopher Bergh Do you feel you’re working like a firefighter? Do you have the perception, you’re solving the same problems over and over? Do you worry about ever changing requests from your business partners? Then you are not alone – not even alone in the pharma world. In today’s episode, we will talk …
The data ops manifesto from a data science perspective Read More »
Interview with Andy Grieve Do you want to have a bigger impact?Would you like to play a bigger role?Did you have a moment in your career, where you thought you as a statistician felt being put in a box or labeled in such a way that limits your influence? Today’s interview is surely beneficial to …