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.
I recently talked to a statistician, that initiated a small company internal group of statisticians to drive forward methodological innovation projects. While this surely will help the individuals to learn more about statistical methods, it was less clear, why and on which topics the group should focus their activities on. While most of our day-to-day …
Questions to ask yourself before starting a new project Read More »
Interview with Kate Taylor – chair of the PSI conference in 2019 Hopefully, you’re attending statistical conferences to learn more about the latest developments in the field. But of course, there’s much more to conferences than just the sessions. In this episode, I’m chatting with Kate Taylor – the chair of the PSI conference 2019 …
Interview with Stephen Ruberg There’s a long tradition of statisticians working on clinical studies as well as other related data, e.g. pre-clinical data and observational data. In the advent of big data and data sciences, there’s a considerable pull from the business side of pharma to employ statistical approaches as well. This leads to questions …
Data science or just statistics on non-medical data? A new horizon for statisticians Read More »
It’s surely not the norm, that a statistician from the pharma sector ends up working for BBC. But Robert Cuffe has taken this step and needs to explain statistics to non-statisticians on a daily basis. In this episode, he shares the different methods he’s using. We also dive into common pitfalls, that we as statisticians …
In this last part of the leadership series with Gary Sullivan, we talk about the next steps, you can take to work on your leadership skills. We cover the following areas:
In the third part of the leadership series with Gary Sullivan, we talk about: What skills does it take to influence as a statistician? When it’s about driving change – what are the rational, operational, and emotional challenges? How do I get a “seat at the table” and have more influence?