From AI Pilots to Commercial Impact: How AI Is Reshaping Life Sciences

From AI Pilots to Commercial Impact: How AI Is Reshaping Life Sciences

Artificial intelligence is moving quickly through the life sciences sector. What started with AI-driven drug discovery and data analysis is now reaching commercial teams across pharma, biotech and medtech.

For hiring managers, this shift is changing more than technology budgets. It is influencing the skills companies look for, the roles candidates want and how commercial teams operate day to day.

AI is changing the commercial life sciences role

Generative AI is already helping commercial teams work through large volumes of information. Sales teams can use AI to prepare for customer conversations. Marketing teams can analyse market data and personalise content. Account managers can spend less time on administration and more time building relationships.

This matters in pharma and biotech because commercial decisions often involve complex clinical data, changing market access conditions and multiple stakeholders. In medtech, commercial teams also need to understand how AI-enabled products fit into clinical workflows and regulatory requirements.

Deloitte reports that 78% of biopharma and medtech leaders expect AI to play a central role in major organisational change in 2026.

The skills employers are looking for are shifting

One recruitment trend worth watching is the growing value of people who can connect technology with genuine life sciences knowledge.

A commercial candidate does not necessarily need to become an AI specialist. However, understanding how to use AI tools, interpret data and work confidently alongside new technology is becoming a useful differentiator.

For employers, this can make hiring more nuanced. A strong pharmaceutical sales professional with deep customer relationships may be more valuable than someone with impressive AI experience but limited understanding of the market. The strongest profiles often sit somewhere between the two.

We are also seeing greater interest in roles where commercial, data and digital expertise overlap. That is likely to continue as AI becomes part of everyday workflows rather than a separate innovation project.

Candidate expectations are changing too

AI is also influencing retention.

People want to know that the organisation they join is prepared for the way their role will evolve. Candidates increasingly ask about technology, training and how teams are using AI in practice. They want development that keeps their skills relevant without losing the human side of their work.

For hiring managers, being clear about this can make a difference. A good AI strategy is not simply about introducing new tools. It is about giving capable people the confidence to use them well.

Zenopa sees the value of that balance across life science, pharmaceutical and medical device commercial roles. The organisations attracting strong candidates are often those that can explain not just where AI is going, but how it will make people’s working lives better.

What comes next?

AI may change many parts of the life sciences commercial function. It is unlikely to remove the value of relationships, judgement and sector expertise.

The interesting question for hiring managers is becoming less about whether teams should use AI and more about what their best people could achieve with the right technology around them.

At Zenopa, we work with life science, medical device and pharmaceutical organisations across the US, EU and UK.

For more information, please visit the Life Science recruitment page or get in touch!