Reine

The knowledge about the bias variance tradeoff is very important for you as a statistician as it comes across your work – especially exploratory work

Jenny wants to give you a few key points to consider when evaluating potential statistics / data science careers in drug development and healthcare.

we know that there are thousands of ‘unsung heroes’ around the world, working in different capacities on different clinical trials to make the breakthrough.

I think of uncertainty as the variability in the population we are studying, around estimates, or the model uncertainty, which we might capture via looking into various models.

Change management is something I never thought about being interesting for statisticians, but recently, I needed to dive in to this frequently. I learned that this helps me when creating new designs or processes as it answers lots of questions about getting from an idea to an implementation.

Knowledge sharing is close to my heart and Nelson, who is a very knowledgeable statistician, has shared a lot of articles on LinkedIn and on his website.

I learned a lot and how important it is to know where the people I interview are coming from and how important it is to adapt my language to theirs.