The Effective Statistician
This episode is for you!
[Read more…] about Good data visualization checklistDuring this episode, we review some highlights from this year. It’ll help you remember a couple of lessons learned or inspire you to listen to some episodes (again).
We talk about:
[Read more…] about Christmas episode 2019| Hopefully you’ve now listened to all other episodes in this podcast series (we recommend you do if not!) and are convinced that a career as a medical statistician is the right choice for you. This final episode aims to prepare you for the interview process. You’ll learn what to expect at an interview or assessment center, and hear experiences from both sides of the table. An interesting listen that you won’t want to miss! |
In this episode, learn about:
[Read more…] about CALC Episode 5: You’re hired! How to Fail to be Rejected During the Interview ProcessYou want to drive drug research and development, but you are wondering what employers look for in the perfect candidate?
You are in luck – PSI CALC are here to share their top tips on how to be the ideal candidate. What is the industry currently looking for in a graduate statistician? What you can expect when you apply?
In this episode, learn about:
[Read more…] about CALC Episode 4: Be Significant: What Employers Look forYou may be studying at university thinking about your future employment, or simply considering a career change.
Listen now for our practical next steps!
In this episode, learn about:
[Read more…] about CALC Episode 3: Get a Head Start and Map Your Route to a Career in Drug DevelopmentStatistics isn’t traditionally known to be a trendy subject, but data and data analytics is fast becoming a main driving force around the world for many industries and organizations. In the pharmaceutical industry, the visibility of statisticians is increasing and we are highly influential in the decision-making process.
Now that’s a lot of power we hold, so let’s put it to good use!
What’s covered in Episode 2?
[Read more…] about CALC Episode 2: The Average Day for a Statistician: It’s Not Mean!
