Are you a statistician looking to expand your career beyond the statistics department?

Do you want to know how your data expertise and strategic thinking can open new doors?

In this episode of The Effective Statistician podcast, I sit down with Swarna Khare, who made that leap and found success in strategic roles across the industry. We explore her journey, discussing how statisticians can leverage their skills to create a bigger impact outside of technical roles.

If you’re ready to take your career to the next level, this episode is packed with actionable insights to help you step beyond the statistics function and into new opportunities.

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What can statisticians gain from the world of software engineering?

How can coding practices from companies like Google help us enhance the quality of statistical work in the pharmaceutical industry?

In this episode of The Effective Statistician, I talk with Daniel Sabanés Bové to explore these questions. Daniel walks us through his career, from working as a biostatistician at Roche to becoming a data scientist at Google, and shares why he returned to healthcare. We discuss how applying software engineering principles—like clean coding, automation, and collaboration—can transform the way statisticians work.

If you want to improve your coding skills and efficiency using open-source tools and better workflows, this conversation with Daniel offers practical insights and a glimpse into his new consulting venture, RCONIS.

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Are you curious about how predictive models forecast future outcomes?
Or how do experts build and test these models to ensure they’re reliable? 

In this episode, I sit down with Chantelle to explore these questions and dive deep into the world of predictive modeling. We break down the process, from analyzing the data to validating the final model, and discuss how these techniques are used, especially in healthcare.

If you’re eager to understand how predictive models work and why they matter, this episode is for you.

Key Points:

• Predictive Models: Forecast future outcomes based on historical data.
• Model Building: Process of analyzing data, training, and testing models.
• Validation: Ensures model reliability and accuracy.

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How can artificial intelligence simplify your daily work?

How do tools like GitHub Copilot streamline tasks for statisticians and data scientists? 

In this episode of The Effective Statistician, I explore these questions with Paolo Eusebi, who shares his direct experience using Copilot in R Studio. We dive into how AI can suggest accurate code, assist with data manipulation, and help you quickly learn new programming techniques. We also discuss the critical need to safeguard data privacy when using these tools in larger organizations.

Join us to see how AI can boost your productivity and transform how you work!

Key Points:

• AI in Daily Work
• GitHub Copilot
• Code Suggestions
• Learning Tool
• R Studio Integration
• Productivity Boost
• Data Privacy
• Future of AI

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Are you feeling nervous about delivering your next presentation? Do you dread the moment you step in front of an audience? You’re not alone.

But what if you could turn that anxiety into confidence and deliver your presentation like a pro? In this episode, I guide you through practical tips to help you feel more comfortable and in control. You’ll learn how to shift your focus to the audience, practice to build confidence, and master your setup, whether in-person or virtual. I also show you how to use your voice effectively, incorporate gestures, and even film yourself to identify areas for improvement. Ready to transform your presentation skills? Let’s get started!

Key points:

• Audience focus
• Practice
• Setup mastery
• Slides
• Engage with slides
• Stand up
• Visibility
• Vocal variety
• Breathing
• Gestures
• Self-assessment

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In this episode, I dive into some key questions:
How does luck influence our careers?
How do we stay humble while continually learning and growing?
What can we learn from someone who has shaped the field of statistics for decades? 

I’m thrilled to explore these topics with one of the most influential statisticians, Stephen Senn. Stephen shares his journey, revealing the pivotal decisions that guided his career and the insights he gained along the way.

Join me as we uncover the lessons that can inspire and guide statisticians at every stage of their careers.

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Do your slides overwhelm your audience with too much information?
Are they cluttered, and distracting from the message you want to deliver?

In this episode, I help you tackle these challenges by showing you how to craft better, more engaging slides. Building on the last two episodes about preparing presentations, I guide you through practical strategies to simplify your slides, focus on key takeaways, and enhance them with visuals and storytelling.

With these tips, you’ll create slides that captivate your audience and strengthen your overall presentation.

Key points:

• Avoid clutter
• Separate slide sets
• Focus on key takeaways
• Use visuals
• Engage with storytelling
• Simplify slide titles

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Are you curious about how artificial intelligence is transforming clinical research?

Do you want to know how statisticians can use AI to improve healthcare outcomes?

In this episode, I explore these questions with Francois Vandenhende, a seasoned expert in the pharmaceutical industry with nearly three decades of experience. Francois shares his journey from using traditional statistical methods to pioneering AI and machine learning in clinical development. We dive into how AI is making a difference in areas like digital twins and the integration of structured and unstructured data. Francois also highlights how statisticians can leverage AI to shape the future of healthcare.

Join us as we uncover the exciting opportunities AI offers in clinical research and why it’s more than just a trend.

Key Points:

• AI in Clinical Research: Exploring the impact of artificial intelligence on clinical research and development.
• Francois’ Experience: Insights from Francois, a seasoned expert with nearly 30 years in the pharmaceutical industry.
• Transition to AI: Francois’ journey from traditional statistical methods to AI and machine learning applications.

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Do you ever wonder what makes a presentation truly resonate with your audience?
What turns a simple delivery into something unforgettable?

In this episode, I tackle these questions head-on by exploring three key areas that every presenter must address: ethos, logos, and pathos. These timeless concepts, rooted in Greek philosophy, still hold incredible power today.

By mastering them, you can boost your credibility, sharpen your message, and forge a stronger emotional connection with your audience.

Join me as I reveal how these strategies can elevate your presentations and enhance your influence as a statistician.

Key Points:

• Resonance: What makes a presentation resonate with the audience?
• Memorability: Turning a simple delivery into something unforgettable.
• Ethos: Establishing credibility and trust with your audience.
• Logos: Presenting logical arguments, data, and evidence.
• Pathos: Creating an emotional connection with the audience.
• Mastery: How mastering ethos, logos, and pathos enhances presentations.
• Influence: Boosting your impact and influence as a statistician.
• Conference: Submitting an abstract for the Effective Statistician Conference.

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Have you ever questioned how biostatistics and IT intersect, or why managing this relationship can feel so challenging?

In this episode, I sit down with Pablo Joerger, a statistician who transitioned into programming after over 40 years in the pharmaceutical industry. We explore how the shift from mainframes to cloud computing has revolutionized our field and examine the pivotal role IT plays in supporting modern statistical analyses.

If you’re looking to better understand or improve your work at the intersection of biostatistics and IT, this episode offers practical insights and valuable takeaways.

Key Points:

• Biostatistics and IT Intersection: Exploring the relationship between biostatistics and IT.
• Evolution of Technology: Shift from mainframes and standalone PCs to cloud computing.
• Role of IT: Importance of IT in supporting statistical practices.
• Hardware Requirements: Necessary hardware and software for efficient statistical work.
• Data Security: Ensuring secure data handling and compliance with regulations.

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