Avsnitt
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🎙 Tech and Drugs - Episode 4: Navigating Pharma, Tech & The Future of Work with Adam WalkerIn this episode of Tech and Drugs, I sit down with Adam Walker, a seasoned consultant, technologist, and thought leader with nearly 30 years of experience in pharmaceuticals, clinical research, and medtech. Adam has worked across biometrics, quality assurance, and real-world evidence, leading global teams and driving technology adoption in major pharma companies, including AstraZeneca.We cover:✅ The evolving role of AI in drug discovery and preclinical research✅ The job market turmoil in pharma and biotech—layoffs, personal branding, and resilience✅ The tension between security and innovation in pharma’s approach to digital transformation✅ The future of remote work vs. on-site policies in life sciences✅ How data assets are reshaping pharma and the growing demand for ‘bilingual’ scientists and data expertsWhether you’re navigating a career shift, exploring AI’s impact on drug R&D, or curious about where life sciences is heading in 2025, this conversation is packed with insights.💬 What’s your take on AI, job market shifts, or remote work in pharma? Drop your thoughts in the comments!#Pharma #AI #DrugDiscovery #RealWorldEvidence #ClinicalResearch #DataScience #FutureOfWork #Biotech #LifeSciences
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This time, I sit down with Jakob Zeitler, an expert in causal inference and machine learning, to explore how AI-driven experimentation is reshaping drug R&D. If you’ve ever wondered how active learning can revolutionize drug discovery, or why machine learning in pharma is both promising and problematic, this one’s for you.
🔹 Jakob’s Journey: From early coding to cutting-edge research at Oxford University and Matterhorn Studio
🔹 Pharma’s Efficiency Problem: Why drug development keeps getting more expensive and how AI might fix it
🔹 Active Learning 101: How AI decides which experiment to run next (smarter, not harder!)
🔹 Machine Learning in Drug Discovery: Where it works, where it fails, and why we need more than one “AlphaFold”
🔹 "Lab-in-the-Loop": The future of AI-powered experimentation in pharma
🔹 Adopting AI in R&D" Practical steps for pharma leaders looking to integrate active learning today
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Saknas det avsnitt?
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n this episode, I sit down with Benjamin Szilagyi, a true pioneer in data science and digital transformation. With over 25 years of experience, Ben shares insights from his leadership roles at Roche and dsm-firmenich, diving into the real stories behind building data-driven ecosystems in Pharma and Biotech.
Here’s a sneak peek of the themes we explored:
1️⃣ The Power of Starting Small: Why focusing on one use case can drive large-scale digital transformation and break through corporate inertia.
2️⃣ From FAIR Philosophy to Action: How to operationalize FAIR data principles step-by-step and align data workflows for real impact.
3️⃣ Human-Centric Transformation: The surprising role of empathy, trust, and cross-functional alignment in leading change at scale.
4️⃣ The Data Pyramid Problem: Why focusing on foundational data quality is the secret to unlocking sustainable AI-driven insights.
5️⃣ Purpose and Talent: How to attract, motivate, and retain top talent by centering mission and impact in your work.
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Tech and Drugs - Episode 1 - Kiin AI
In this premiere episode of Tech and Drugs, we dive into the cutting-edge world of AI-powered drug discovery with the team at Kiin AI.
Kiin AI hold a bold vision: to build the first end to end AI scientist.
We are talking about a system that can learn, design, execute, and troubleshoot complex scientific tasks
🔍 Tune in for insights, anecdotes, and a vision of what’s next in the AI-driven future of drug R&D! 🚀
