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By Alexander Schacht and Benjamin Piske, biometricians, statisticians and leaders in the pharma industry
4.4
99 ratings
The podcast currently has 412 episodes available.
This episode highlights the transformative power of authentic leadership, trust, and mentorship in driving both personal and professional growth. Aziza and Klaus show us how fostering collaboration and empowering others can create lasting value for individuals and organizations alike. Their story is filled with practical lessons and inspiring insights that can help you on your own journey as a statistician, leader, or team member.
Oscar’s expertise sheds light on the unique challenges and groundbreaking possibilities in this field, highlighting the critical role that statisticians and data scientists play in advancing these therapies.
If you found this episode insightful, I encourage you to listen in full and share it with colleagues, friends, or anyone interested in the future of healthcare. Let’s spread the word on how statistical expertise is driving the next frontier in medicine—tune in, learn, and pass it on!
In this episode, we dive deep into the science, the ethical hurdles, and the innovative statistical methods that make gene therapy possible. I encourage you to tune in and gain insights from our expert guests, Avery and Alex, as they share their experiences and perspectives on navigating this complex field.
If you find this episode valuable, please share it with colleagues, friends, and anyone interested in the future of medicine and data science. Let’s spread the knowledge and excitement around these life-changing advancements!
Together, we explore how to balance scientific rigor with business goals, collaborate across teams, and navigate the regulatory landscape to bring new therapies to life. Carrie shares practical advice and insights that can help anyone involved in drug development make a real impact.
Don’t miss this conversation—listen to the full episode, and if you find it valuable, share it with friends and colleagues who are passionate about advancing healthcare.
This episode reveals how large language models (LLMs) are transforming industries like pharmaceutical research and statistics. Pietro shares practical applications and emphasizes the need for human oversight, showcasing how AI is reshaping the way we work.
If you want to stay ahead in this rapidly evolving AI field, listen to this episode today! Be sure to share the episode link with colleagues and friends who can benefit from learning how AI can boost efficiency and collaboration. Tune in now!
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In this episode, Swarna’s journey shows how statisticians can successfully move beyond the traditional boundaries of their roles and make a broader impact in various industries. If you're looking to take your skills to the next level and explore new career opportunities, this episode is full of valuable insights and practical advice.
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Taina shares invaluable tips on getting started with Notion and highlights its potential to replace multiple tools while simplifying your personal and professional life.
Don’t miss out—tune in to the episode now and discover how you can start using Notion effectively. And if you found this episode helpful, be sure to share it with your colleagues and friends who could benefit from optimizing their productivity!
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Daniel shows how software engineering principles can transform the way statisticians work, offering practical tips to improve coding skills and workflow efficiency. If you're looking to boost your productivity, adopt better coding habits, or learn more about the intersection of tech and pharma, this conversation is full of valuable insights.
Listen to the full episode now, and if you find it helpful, share it with your friends and colleagues who can benefit from these ideas. Let’s work together to improve and innovate!
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Chantelle shares valuable insights into building, testing, and validating these models, showing just how powerful and essential they are.
If you found this discussion insightful, listen to the full episode to dive deeper into the technical details and practical applications of predictive modeling. And if you know others who would benefit from this knowledge, share the episode with them. Let’s spread these valuable insights together!
The podcast currently has 412 episodes available.
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