Do you want to change your job?
Are you just looking for you first job?
Do you consider to work for your own company or as a free-lancer?

Then this episode will help you!

Benefit-risk assessments are made by various stakeholders including sponsors, regulators, payers, physicians, and patients throughout the life-cycle of a treatment.

The understanding of data plays a vital role in weighting positive and negative effects of medications.

In this episode, we give you an introduction to what benefit-risk (BR) assessment is in order for you to understand your role.

In this episode, we talk about
- how to network
- how to prepare for the conference
- how to
follow up after the conference
As well as some specific topics around the PSI conference itself.

This episode follows the outline of a webinar, that I presented in 2018 during a PSI webinar. I’m introducing cluster analysis and why you as a statistician need to know about it.

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.
What does this mean for medical statisticians?

Do you want to learn where the health sector might be heading in terms of data science?

Do you understand the opportunities and barriers in terms of the application of data science?

Are you prepared to learn the individual skills needed for these changes?

Then this interview with Ursula from Cytel provides you with the relevant answers.

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 trap into.

Finally, we also learn, how we can improve our publications to make sure, that the science is reported correctly in the broader news.

Do you know that TransCelerate does for statisticians?
Do you write study protocols, analysis plans and programming specifications as individual documents noting, that there’s lots of redundancy?
Do you wonder, if there’s a more efficient was in-line with what regulators want?

Pepa Polavieja will provide you with answers to all these questions in this episode.

Do you think, R can’t be used for regulatory submissions?
Are you forced to use SAS but would like to use R instead?
Would you like to understand how you can make R submission proof?

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.