Life Sciences DNA Podcast

By: Levine Media Group
  • Summary

  • The Life Sciences D’n’A podcast is hosted by Dr. Amar Drawid, an industry veteran and AI expert who has worked in data science leadership with top biopharmaceutical companies. He explores the evolving use of AI and data science with innovators working to reshape all aspects of the biopharmaceutical industry from the way new therapeutics are discovered to how they are marketed.
    Copyright 2024 All rights reserved.
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Episodes
  • Generating Proteins Nature Never Imagined
    Dec 12 2024

    Mike Nally, CEO of Generate Biomedicines, sits down with Amar Drawid to discuss the innovative use of generative AI in drug discovery, how the company’s platform integrates machine learning with biological engineering to create new therapeutic proteins, and the potential of generative AI to create more effective therapies for cancer and infectious diseases.

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    1 hr and 6 mins
  • Why Data Strategy Must Be Tied to Business Outcomes
    Nov 27 2024

    Kannan Raman of Amazon Web Service sits down with Amar Drawid to discuss the role of AI in transforming life sciences and the importance of data strategy being tied to business outcomes. They explore the challenges of data strategy, the importance of cultural shifts within organizations, and the monetization of data as a product.

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    59 mins
  • Biopharma Companies Wrestle with an Outsized Demand for AI Talent
    Nov 14 2024

    The increasing demand for AI talent in the life sciences industry is presenting a challenge for biopharma HR departments. Companies must compete for skilled workers not only against their competitors but also against tech firms that often offer more attractive compensation packages. Steve Swan, CEO of The Swan Group, sat down with Amar Drawid to discuss the current recruitment landscape for AI talent in the life sciences sector, the challenges companies are encountering, and why the mission of drug developers might give them a competitive advantage over tech companies in appealing to certain candidates.

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    49 mins

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