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Retention Of People: How To Keep Your Statisticians - As A Supervisor

Retention Of People: How To Keep Your Statisticians - As A Supervisor

FromThe Effective Statistician - in association with PSI


Retention Of People: How To Keep Your Statisticians - As A Supervisor

FromThe Effective Statistician - in association with PSI

ratings:
Length:
36 minutes
Released:
Apr 29, 2024
Format:
Podcast episode

Description

In today's episode, Benjamin and I dive into the critical issue of retaining key team members, especially now that he has earned his promotion to Global Head of Biostatistics at CYTEL.

But before we explore our main topic, let's consider some pressing questions:

Are you struggling to keep your top talent engaged and committed to your team?
Do you understand what keeps your best employees staying or what might be driving them away? '
As supervisors, we face the challenge of not just hiring the right talent but also retaining skilled statisticians, programmers, and data scientists we already have on our teams.

Today, we' discuss industry turnover rates and share personal stories from our extensive careers, aiming to unveil effective strategies for keeping your team cohesive and motivated.

Whether you're a seasoned manager or aspiring to lead, this discussion will equip you with insights to nurture and retain your talent, enhancing both team stability and satisfaction.

Here are some more points that we discuss:
Released:
Apr 29, 2024
Format:
Podcast episode

Titles in the series (100)

The podcast from statisticians for statisticians to have a bigger impact at work. This podcast is set up in association with PSI - Promoting Statistical Insight. This podcast helps you to grow your leadership skills, learn about ongoing discussions in the scientific community, build you knowledge about the health sector and be more efficient at work. This podcast helps statisticians at all levels with and without management experience. It is targeted towards the health, but lots of topics will be important for the wider data scientists community.