AI opens opportunities for life sciences talent attraction

 

One of the fastest-growing sectors, the life sciences industry is struggling to maintain a workforce with the tech skills needed to meet its growing needs R&D and manufacturing needs. In fact, it is projected that the industry will face a talent deficit of 35% by 2030. And, as digital transformation continues to reshape the industry, the skill sets that industry employees need continue to evolve.

 

Grant Thornton Life Sciences National Managing Partner Zara Muradali recently sat down with MassMEDIC President Brian Johnson, AI Ethicist Matthew Sample of the Institute for Experiential AI and Modi Ventures General Partner Sahir Ali to discuss the urgent need for innovative policies to help the pharmaceutical and life sciences industries bridge the talent gap.

 

The video clips are taken from this hour-long discussion and talk about how life sciences company leadership and governing boards can use AI to attract top talent.

 

4:28 | Transcript

 

In this portion of their webcast, Johnson shares insights from his experience as president of MassMEDIC, the largest regional medical device trade association in the U.S. He discusses his organization’s efforts to advance solutions for upskilling the biomanufacturing workforce in Massachusetts and to meet the need for talent in healthcare in the state. He explores the urgent need for government and industry to collaborate to improve recruitment and training initiatives and to build a solid infrastructure for future generations of workers.

 

4:28 | Transcript

 

Maintaining a skilled workforce is a multifaceted challenge for life sciences companies, one that includes the need for policies that reduce burnout and advance the retention of skilled employees. In this video clip Ali explores, among other things, how many employers in the industry are revisiting minimum educational requirements and other hiring criteria for many of the positions in the field. He also sheds light on the many ways that new technologies can help streamline workflows and reduce burnout. 

 

5:51 | Transcript

 

As life sciences companies continue to integrate generative AI, machine learning and other automation technologies into their R&D and manufacturing processes, they are challenged to ensure that these innovations not only improve productivity but also support the needs of human workers. In this excerpt, Sample calls on his expertise as an AI ethicist to caution life sciences companies to manage their expectations about how AI can help generate and retain talent. He explores the concept of ethical tech and why it is important to focus on how these new technologies can streamline workflows and meet actual needs. Ali also discusses new AI technologies that are meeting very specific healthcare use cases.

 
 

Contact:

 
 
Content disclaimer

This Grant Thornton Advisors LLC content provides information and comments on current issues and developments. It is not a comprehensive analysis of the subject matter covered. It is not, and should not be construed as, accounting, legal, tax, or professional advice provided by Grant Thornton Advisors LLC. All relevant facts and circumstances, including the pertinent authoritative literature, need to be considered to arrive at conclusions that comply with matters addressed in this content.

Grant Thornton Advisors LLC and its subsidiary entities are not licensed CPA firms.

For additional information on topics covered in this content, contact a Grant Thornton Advisors LLC professional.

 

Our life sciences featured industry insights