Key points:

• Statisticians and software engineering: Learning from software engineering practices to improve statistical work.
• Daniel Sabanés Bové career path: Transition from biostatistician at Roche to data scientist at Google, and return to healthcare.
• Software engineering principles: Importance of clean coding, automation, and collaborative development.
• Coding in the pharma industry: How tech practices can enhance pharmaceutical statistical work.
• Open-source tools: Utilizing tools like Git and automation workflows to improve efficiency.
• Automation: Streamlining repetitive tasks to focus on value-adding work.
• RCONIS: Daniel’s new consulting venture combining statistics and software engineering.

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!